Knowledge complexity acquisition method and device, storage medium and terminal

Abstract

The invention discloses a knowledge complexity acquisition method and device, a storage medium and a terminal, and the method comprises the steps: obtaining a target knowledge production unit and a target knowledge product, and obtaining an export mode; based on the export advantage of each target knowledge product in each target knowledge production unit, obtaining a diversity initialization index of each target knowledge production unit and a scarcity initialization index of each target knowledge product; bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product is realized, and the final diversity index of each target knowledge production unit and the final scarcity index of each target knowledge product are acquired; and obtaining complexity conditions of all target knowledge production units and all target knowledge products. The diversity of the knowledge production units and the scarcity of the knowledge products are closely combined, so that the precision of the final index of the diversity of the target knowledge production units and the precision of the final index of the scarcity of the target knowledge products are higher.

Description

Technical Field

[0001] The present invention relates to the field of knowledge complexity technology, and in particular to a knowledge complexity acquisition method and device, a storage medium and a terminal. Background Art

[0002] Knowledge products are intellectual products such as papers, patents, and awards, while knowledge production units are entities that produce knowledge products, such as disciplines, research institutes, universities, regions, and communities. Currently, semantic distance is often used to compare the relevance of two knowledge production units or knowledge products, and web page ranking algorithms are mainly used to measure the importance of a specific web page relative to other pages in search engines. Therefore, existing methods cannot compare which of multiple knowledge production units is more basic. For example, existing methods cannot determine that mathematics is the most basic discipline among many disciplines, and other disciplines depend on mathematics.

[0003] The diversity of knowledge production units indicates how many kinds of knowledge products a knowledge production unit can produce; the more knowledge products a knowledge production unit has and the more scarce the knowledge products are, the higher the diversity of the knowledge production unit. The scarcity of knowledge products indicates how many knowledge production units can produce the knowledge product; the scarcer the knowledge product is, the higher the ability required to produce the knowledge product is and the more difficult it is. Both the diversity of knowledge production units and the scarcity of knowledge products can represent the complexity of knowledge, but there is currently no way to obtain the complexity of knowledge by combining the two closely. Summary of the invention

[0004] In view of the shortcomings of the prior art mentioned above, the purpose of the present application is to provide a knowledge complexity acquisition method and device, a storage medium and a terminal, so as to solve the problem that there is currently no knowledge complexity acquisition method that combines the diversity of knowledge production units and the scarcity of knowledge products.

[0005] In a first aspect, the present application provides a method for acquiring knowledge complexity, comprising:

[0006] Obtain all target knowledge production units and target knowledge products to be evaluated, and obtain the export method when the target knowledge production units are identified to export the target knowledge products;

[0007] On the basis of the export mode, based on the export advantages of each of the target knowledge products in each of the target knowledge production units, obtaining the diversity initialization index of each of the target knowledge production units and the scarcity initialization index of each of the target knowledge products;

[0008] Based on the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product, a bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product is realized through a nested matrix to obtain the final diversity index of each target knowledge production unit and the final scarcity index of each target knowledge product;

[0009] Based on the final index of diversity of all the target knowledge production units and the final index of scarcity of all the target knowledge, the complexity of all the target knowledge production units and all the target knowledge products is obtained.

[0010] In one embodiment of the present application, based on the export mode and based on the export advantage of each target knowledge product in the comparison knowledge production unit, obtaining the diversity initialization index of the comparison knowledge production unit includes:

[0011] Sorting all the target knowledge products to obtain a knowledge product sequence;

[0012] Determine whether N is less than or equal to a preset product threshold. If N is less than or equal to the preset product threshold, determine whether the comparison knowledge production unit has an export advantage when exporting the Nth target knowledge product in the knowledge product sequence. If so, add 1 to the current temporary index of diversity of the comparison knowledge production unit. Otherwise, keep the current temporary index of diversity of the comparison knowledge production unit unchanged, then add 1 to N and re-determine whether N is less than or equal to the preset product threshold. If N is greater than the preset product threshold, use the current temporary index of diversity of the comparison knowledge production unit as the initialization index of diversity of the comparison knowledge production unit.

[0013] Among them, the comparison knowledge production unit is any one of all the target knowledge production units, the initial value of N is 1, the preset product threshold is the number of the target knowledge products in the knowledge product sequence, and the initial value of the diversity temporary indicator of the comparison knowledge production unit is 0.

[0014] In one embodiment of the present application, based on the export method and based on the export advantages of the comparative knowledge product in each of the target knowledge production units, obtaining the scarcity initialization index of the comparative knowledge product includes:

[0015] sorting all the target knowledge production units to obtain a knowledge production unit sequence;

[0016] Determine whether M is less than or equal to a preset production unit threshold. If M is less than or equal to the preset production unit threshold, determine whether the Mth target knowledge production unit in the knowledge production unit sequence has an export advantage when exporting the comparative knowledge product. If so, add 1 to the current temporary index of scarcity of the comparative knowledge product. Otherwise, keep the current temporary index of scarcity of the comparative knowledge product unchanged, then add 1 to M and re-determine whether M is less than or equal to the preset production unit threshold. If M is greater than the preset production unit threshold, use the current temporary index of scarcity of the comparative knowledge product as the initialization index of scarcity of the comparative knowledge product.

[0017] Among them, the comparison knowledge product is any one of all the target knowledge products, the initial value of M is 1, the preset production unit threshold is the number of the target knowledge production units in the knowledge production unit sequence, and the initial value of the temporary indicator of scarcity of the comparison knowledge product is 0.

[0018] In one embodiment of the present application, bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product is achieved through a nested matrix to obtain the final diversity index of each target knowledge production unit and the final scarcity index of each target knowledge product, including:

[0019] Bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product is achieved through nested matrices until the preset iteration stop condition is met. The final diversity index of each target knowledge production unit is obtained based on the final even-numbered iteration results of the diversity index, and the final scarcity index of each target knowledge product is obtained based on the final odd-numbered iteration results of the scarcity index.

[0020] In one embodiment of the present application, a single iteration process of comparing the diversity index of knowledge production units through a nested matrix includes:

[0021] The scarcity index of each target knowledge product obtained in the previous iteration;

[0022] Multiplying the production index of the comparative knowledge production unit with the production index of the comparative knowledge production unit to obtain the unit production value, summing up all the unit production values ​​and dividing them by the diversity initialization index of the comparative knowledge production unit to obtain the diversity index of the comparative knowledge production unit of the current iteration;

[0023] Among them, the comparison knowledge production unit is any one of all the target knowledge production units. When the comparison knowledge production unit has an export advantage in exporting the target knowledge product, the production index of the target knowledge product relative to the comparison knowledge production unit is set to 1, otherwise the production index of the target knowledge product relative to the comparison knowledge production unit is set to 0.

[0024] In one embodiment of the present application, a single iteration process of comparing the scarcity index of knowledge products through a nested matrix includes:

[0025] Multiply the diversity index of each target knowledge production unit obtained in the previous iteration by its production index relative to the comparative knowledge product to obtain the product production value, sum all the product production values ​​and divide them by the scarcity initialization index of the comparative knowledge product to obtain the scarcity index of the comparative knowledge product in the current iteration;

[0026] Among them, the comparative knowledge product is any one of all the target knowledge products. When the target knowledge production unit has an export advantage in exporting the comparative knowledge product, the production index of the target knowledge production unit relative to the comparative knowledge product is set to 1, otherwise the production index of the target knowledge production unit relative to the comparative knowledge product is set to 0.

[0027] In one embodiment of the present application, judging whether the comparative knowledge production unit has an export advantage when exporting the comparative knowledge product includes:

[0028] Take the export volume of the comparative knowledge product exported by the comparative knowledge production unit as a separate export volume, take the export volume of all the target knowledge products exported by the comparative knowledge production unit as a separate total export volume, take the export volume of the comparative knowledge product exported by all the target knowledge production units as the overall export volume, and take the export volume of all the target knowledge products exported by all the target knowledge production units as the overall total export volume, and judge whether the ratio of the separate export volume to the separate total export volume is greater than the ratio of the overall export volume to the overall total export volume. If so, it is judged that the comparative knowledge production unit has an export advantage in exporting the comparative knowledge product. Otherwise, it is judged that the comparative knowledge production unit does not have an export advantage in exporting the comparative knowledge product.

[0029] The comparative knowledge production unit is any one of all the target knowledge production units, and the comparative knowledge product is any one of all the target knowledge products.

[0030] In one embodiment of the present application, it further includes:

[0031] When there is a preset relationship between all the target knowledge production units and all the target knowledge products, the complexity of all the target knowledge production units and all the target knowledge products is represented by a four-quadrant diagram or a radar diagram;

[0032] When there is no preset relationship between any of the target knowledge production units and any of the target knowledge products, the complexity of all the target knowledge production units and all the target knowledge products is represented by a radar chart;

[0033] Among them, the preset relationship is an attribute relationship or an inclusion relationship.

[0034] In a second aspect, the present application provides a knowledge complexity acquisition method device, including a target acquisition module, an initialization index acquisition module, a final index acquisition module and a complexity situation acquisition module;

[0035] The target acquisition module is used to acquire all target knowledge production units and target knowledge products to be evaluated, and to acquire the export method when the target knowledge production unit is identified to export the target knowledge product;

[0036] The initialization index acquisition module is used to acquire the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product based on the export mode and the export advantage of each target knowledge product in each target knowledge production unit;

[0037] The final indicator acquisition module is used to implement bidirectional iteration of the diversity indicator of each target knowledge production unit and the scarcity indicator of each target knowledge product through a nested matrix based on the diversity initialization indicator of each target knowledge production unit and the scarcity initialization indicator of each target knowledge product, so as to obtain the final diversity indicator of each target knowledge production unit and the final scarcity indicator of each target knowledge product;

[0038] The complexity situation acquisition module is used to acquire the complexity situation of all the target knowledge production units and all the target knowledge products based on the final diversity indicators of all the target knowledge production units and the final scarcity indicators of all the target knowledge.

[0039] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and the computer program implements the knowledge complexity acquisition method when executed by a processor.

[0040] In a fourth aspect, the present application provides a terminal, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the knowledge complexity acquisition method.

[0041] Compared with the prior art, one or more embodiments of the above scheme may have the following advantages or beneficial effects:

[0042] By applying the knowledge complexity acquisition method provided in the embodiment of the present invention, the diversity initialization index of each target knowledge production unit and the scarcity initialization index of the target knowledge product are determined based on the export advantage of each target knowledge product in each target knowledge production unit, so as to reflect the product export advantage as the diversity of production units and the scarcity of knowledge products. Then, a two-way iteration of the diversity of target knowledge production units and the scarcity of target knowledge products is achieved through a nested matrix, so as to achieve a close combination of the diversity of knowledge production units and the scarcity of knowledge products, so that the final diversity index of target knowledge production units and the final scarcity index of target knowledge products obtained in the end are more accurate, and are suitable for various scenarios requiring the diversity of knowledge production units or the scarcity of knowledge products to be ranked.

[0043] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0045] Figure 1 Shown is a flow chart of the knowledge complexity acquisition method described in an embodiment of the present application.

[0046] Figure 2 Shown is an example diagram of a four-quadrant diagram in the knowledge complexity acquisition method described in an embodiment of the present application.

[0047] Figure 3 Shown is an example of a radar chart in the knowledge complexity acquisition method described in an embodiment of the present application.

[0048] Figure 4 Shown is a schematic diagram of the structure of the knowledge complexity acquisition device described in an embodiment of the present application.

[0049] Figure 5 Shown is a schematic diagram of the structure of the terminal described in an embodiment of the present application. DETAILED DESCRIPTION

[0050] The following will describe the implementation methods of the present invention in detail with reference to the accompanying drawings and embodiments, so that the implementation process of how the present invention applies technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly. It should be noted that as long as there is no conflict, the various embodiments of the present invention and the various features in the embodiments can be combined with each other, and the technical solutions formed are all within the protection scope of the present invention.

[0051] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application, and thus the drawings only show components related to the present application rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed at will, and the component layout may also be more complicated.

[0052] Knowledge products refer to intellectual products such as papers, patents, and awards, while knowledge production units refer to entities that produce knowledge products, such as disciplines, research institutes, universities, regions, and communities.

[0053] The following embodiments of the present application provide a knowledge complexity acquisition method and device, a storage medium and a terminal, which solve the problem that there is currently no knowledge complexity acquisition method that combines the diversity of knowledge production units and the scarcity of knowledge products.

[0054] The following will describe in detail the principles and implementation methods of a knowledge complexity acquisition method and device, storage medium and terminal of this embodiment in conjunction with the accompanying drawings, so that those skilled in the art can understand the knowledge complexity acquisition method and device, storage medium and terminal of this embodiment without creative work.

[0055] The knowledge complexity acquisition method of the present application can be applied to the evaluation and ranking scenarios of various knowledge production units and / or knowledge products. By closely combining the diversity of each knowledge production unit to be evaluated and the scarcity of each knowledge product to be evaluated, the final diversity index of each knowledge production unit and the final scarcity index of each target knowledge product can be obtained, and then the corresponding knowledge complexity can be evaluated as needed.

[0056] like Figure 1 As shown, this embodiment provides a method for acquiring knowledge complexity, including the following steps.

[0057] Step S101, obtaining all target knowledge production units and target knowledge products to be evaluated, and obtaining the export method when the identified target knowledge production unit exports the target knowledge product.

[0058] Usually, there are multiple target knowledge production units and target knowledge products to be evaluated, so that mutual evaluation between the target knowledge production units or between the target knowledge products can be achieved.

[0059] Step S102, based on the export mode and based on the export advantages of each target knowledge product in each target knowledge production unit, obtain the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product.

[0060] The export method is usually the basis for the target knowledge unit to export the target knowledge product. For example, the entity basis for the knowledge production unit "Country A" to export the knowledge product "Mathematics" can be the paper citation relationship; the entity basis for the knowledge production unit "Mathematics" to export the knowledge product "Mathematics Award" can be the award-winning situation of the winner, such as mathematicians winning awards in other disciplines.

[0061] Step S103, based on the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product, a bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product is realized through a nested matrix to obtain the final diversity index of each target knowledge production unit and the final scarcity index of each target knowledge product.

[0062] Step S104, obtaining the complexity of all target knowledge production units and all target knowledge products based on the final indicators of diversity of all target knowledge production units and the final indicators of scarcity of all target knowledge.

[0063] The knowledge complexity acquisition method provided by the embodiment of the present invention determines the diversity initialization index of each target knowledge production unit and the scarcity initialization index of the target knowledge product based on the export advantage of each target knowledge product in each target knowledge production unit, so as to reflect the product export advantage as the diversity of production units and the scarcity of knowledge products, and then realizes the two-way iteration of the diversity of target knowledge production units and the scarcity of target knowledge products through nested matrices, so as to realize the close combination of the diversity of knowledge production units and the scarcity of knowledge products, so that the final diversity index of target knowledge production units and the final scarcity index of target knowledge products obtained in the end are more accurate, and are suitable for various scenarios requiring the diversity of knowledge production units or the scarcity of knowledge products to be ranked.

[0064] The following is a detailed description of steps S101 to S104 of the knowledge complexity acquisition method of this embodiment.

[0065] Step S101, obtaining all target knowledge production units and target knowledge products to be evaluated, and obtaining the export method when the identified target knowledge production unit exports the target knowledge product.

[0066] All knowledge production units to be evaluated are taken as target knowledge production units, and all knowledge products to be evaluated are taken as target knowledge products. Knowledge products are intellectual products such as papers, patents, awards, etc., and knowledge production units are entities that produce knowledge products, such as disciplines, research institutes, universities, regions, and communities. At the same time, the export method for the target knowledge production unit to export the target knowledge product is determined. The export method is usually the entity basis for the target knowledge product to export the target knowledge product. Specifically, the export method means that all target knowledge production units can export each target knowledge product through the export method. If a target knowledge production unit cannot export a target product through the set export method, it means that the set export method is incorrect.

[0067] Step S102, based on the export mode and based on the export advantages of each target knowledge product in each target knowledge production unit, obtain the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product.

[0068] The comparison knowledge production unit is set to be any one of all target knowledge production units, and the comparison knowledge product is set to be any one of all target knowledge products. At the same time, based on the export method, the export volume of the comparison knowledge product exported by the comparison knowledge production unit is taken as the individual export volume, the export volume of all target knowledge products exported by the comparison knowledge production unit is taken as the individual total export volume, the export volume of the comparison knowledge product exported by all target knowledge production units is taken as the overall export volume, and the export volume of all target knowledge products exported by all target knowledge production units is taken as the overall total export volume. At this time, it can be judged whether the ratio of the individual export volume to the individual total export volume is greater than the ratio of the overall export volume to the overall total export volume. If so, it is determined that the comparison knowledge production unit has an export advantage in exporting the comparison knowledge product. Otherwise, it is determined that the comparison knowledge production unit does not have an export advantage when exporting the comparison knowledge product.

[0069] For example, assume that all target knowledge production units include target knowledge production unit A1, target knowledge production unit A2, target knowledge production unit A3, target knowledge production unit A4 and target knowledge production unit A5, and all target knowledge products include target knowledge product B1, target knowledge product B2, target knowledge product B3, target knowledge product B4 and target knowledge product B5. When the target knowledge production unit A1 is set as the comparison production unit and the target knowledge product B1 is set as the comparison knowledge product, the individual export volume of the comparison knowledge product B1 exported by the comparison knowledge production unit A1 is D1, the individual total export volume of all target knowledge products exported by the comparison knowledge production unit A1 is D2 (i.e. the total export volume of the comparison knowledge product B1, target knowledge product B2, target knowledge product B3, target knowledge product B4 and target knowledge product B5 exported by the comparison knowledge production unit A1 respectively), and the overall export volume of the comparison knowledge product B1 exported by all target knowledge production units is Z1 (i.e. the sum of the export volume of the comparison knowledge product B1 exported by the comparison knowledge production unit A1, the export volume of the comparison knowledge product B1 exported by the target knowledge production unit A2, the export volume of the comparison knowledge product B1 exported by the target knowledge production unit A3, the export volume of the comparison knowledge product B1 exported by the target knowledge production unit A4 and the export volume of the comparison knowledge product B1 exported by the target knowledge production unit A5). The overall total export volume of all target knowledge products exported by the units is Z2 (i.e. the export volume of comparative knowledge product B1, target knowledge product B2, target knowledge product B3, target knowledge product B4 and target knowledge product B5 exported by comparative knowledge production unit A1; the export volume of comparative knowledge product B1, target knowledge product B2, target knowledge product B3, target knowledge product B4 and target knowledge product B5 exported by target knowledge production unit A2; the export volume of comparative knowledge product B1, target knowledge product B2, target knowledge product B3, target knowledge product B4 and target knowledge product B5 exported by target knowledge production unit A3; the export volume of comparative knowledge product B1, target knowledge product B2, target knowledge product B3, target knowledge product B4 and target knowledge product B5 exported by target knowledge production unit A4; the export volume of comparative knowledge product B1, target knowledge product B2, target knowledge product B3, target knowledge product B4 and target knowledge product B5 exported by target knowledge production unit A5).

[0070] Then determine whether the ratio of the individual export volume D1 to the individual total export volume D2 is greater than the ratio of the overall export volume Z1 to the overall total export volume Z2, that is, whether D1 / D2 is greater than Z1 / Z2. If so, it is determined that the comparative knowledge production unit A1 has an export advantage when exporting the comparative knowledge product B1; otherwise, it is determined that the comparative knowledge production unit A1 does not have an export advantage when exporting the comparative knowledge product B1.

[0071] Based on the above method, it can be determined whether each target knowledge product has an export advantage in each target knowledge production unit, and based on the export advantage of each target knowledge product in each target knowledge production unit, the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product can be obtained.

[0072] On the basis of setting the comparison knowledge production unit as any one of all the target knowledge production units, obtaining the diversity initialization index of the comparison knowledge production unit based on the export advantage of each target knowledge product in the comparison knowledge production unit specifically includes: first, sorting all the target knowledge products to obtain a knowledge product sequence; then setting a value N with an initial value of 1, judging whether the current N is less than or equal to the preset product threshold, if the current N is less than or equal to the preset product threshold, it means that all the target knowledge products have not been completely screened, and at this time it is necessary to judge whether the comparison knowledge production unit has an export advantage when exporting the Nth target knowledge product in the knowledge product sequence, if so, adding 1 to the diversity temporary index of the current comparison knowledge production unit, otherwise there is no need to modify the diversity temporary index of the current comparison knowledge production unit; then adding 1 to the current N to obtain a new N, and returning to the above process of judging whether the current N is less than or equal to the preset product threshold, that is, re-judging the current N value and the subsequent corresponding steps. If, when judging whether the current N is less than or equal to the preset product threshold, it is determined that the current N is greater than the preset product threshold, it means that the screening of all target knowledge products has been completed. At this time, the temporary diversity index of the current comparison knowledge production unit can be directly used as the diversity initialization index of the comparison knowledge production unit.

[0073] It should be noted that the above-mentioned preset product threshold is the number of target knowledge products in the knowledge product sequence, while the initial value of the temporary index of diversity of the comparison knowledge production unit is 0.

[0074] Through the above method, the diversity initialization index of each target knowledge production unit can be obtained based on the export advantage of each target knowledge product in each target knowledge production unit.

[0075] On the basis of setting the comparison knowledge product to be any one of all the target knowledge products, based on the export advantages of the comparison knowledge product in each target knowledge production unit, obtaining the scarcity initialization index of the comparison knowledge product specifically includes: first, sorting all the target knowledge production units to obtain a knowledge production unit sequence; then setting a value M with an initial value of 1, judging whether the current M is less than or equal to the preset production unit threshold, if the current M is less than or equal to the preset production unit threshold, it means that all the target knowledge production units have not been completely screened, and at this time it is necessary to judge whether the Mth target knowledge production unit in the knowledge production unit sequence has an export advantage when exporting the comparison knowledge product, if so, adding 1 to the scarcity temporary index of the current comparison knowledge product, otherwise there is no need to modify the scarcity temporary index of the current comparison knowledge product; then adding 1 to the current M to obtain a new M, and returning to the above process of judging whether the current M is less than or equal to the preset production unit threshold, that is, re-judging the current M value and the subsequent corresponding steps. If, when judging whether the current M is less than or equal to the preset production unit threshold, it is determined that the current M is greater than the preset production unit threshold, it means that the screening of all target knowledge production units has been completed. At this time, the temporary scarcity indicator of the current comparison knowledge product can be directly used as the scarcity initialization indicator of the comparison knowledge product.

[0076] It should be noted that the above-mentioned preset production unit threshold is the number of target knowledge production units in the knowledge production unit sequence, and the initial value of the temporary indicator of scarcity of the comparison knowledge product is 0.

[0077] Through the above method, the scarcity initialization index of each target knowledge product can be obtained based on the export advantage of each target knowledge product in each target knowledge production unit.

[0078] Step S103, based on the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product, a bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product is realized through a nested matrix to obtain the final diversity index of each target knowledge production unit and the final scarcity index of each target knowledge product.

[0079] After obtaining the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product, the bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product can be realized through nested matrices on this basis.

[0080] Furthermore, in the above-mentioned bidirectional iteration process, each target knowledge production unit diversity index and each target knowledge product scarcity index are bidirectionally iterated until a preset iteration stop condition is met.

[0081] In the above process, on the basis of setting the comparison knowledge production unit as any one of all the target knowledge production units, the single iterative calculation process of the diversity index of the comparison knowledge production unit realized by the nested matrix specifically includes: multiplying the scarcity index of each target knowledge product obtained in the previous iteration by its production index relative to the comparison knowledge production unit as the unit production value, and then summing all the unit production values ​​and dividing them by the diversity initialization index of the comparison knowledge production unit to obtain the diversity index of the comparison knowledge production unit in the current iteration. When the comparison knowledge production unit has an export advantage in exporting the target knowledge product, the production index of the target knowledge product relative to the comparison knowledge production unit is set to 1, otherwise the production index of the target knowledge product relative to the comparison knowledge production unit is set to 0. Furthermore, because the nature of the nested matrix iteration must converge, the above single iterative calculation process of the diversity index of the comparison knowledge production unit realized by the nested matrix is ​​actually the mean of the scarcity of all target knowledge products with export advantages in the previous iteration of the comparison knowledge production unit.

[0082] Repeat the above process to obtain the diversity index of all target knowledge production units in the current iteration.

[0083] Similarly, in the above process, on the basis of setting the comparative knowledge product as any one of all the target knowledge products, the single iterative calculation process of the scarcity index of the comparative knowledge product realized by the nested matrix specifically includes: multiplying the diversity index of each target knowledge production unit obtained in the previous iteration by its production index relative to the comparative knowledge product as the product production value, and then summing all product production values ​​and dividing them by the scarcity initialization index of the comparative knowledge product to obtain the scarcity index of the comparative knowledge product in the current iteration. When the target knowledge production unit has an export advantage in exporting the comparative knowledge product, the production index of the target knowledge production unit relative to the comparative knowledge product is set to 1, otherwise the production index of the target knowledge production unit relative to the comparative knowledge product is set to 0. Furthermore, because the nature of the nested matrix iteration must converge, the above single iterative calculation process of the scarcity index of the comparative knowledge product realized by the nested matrix is ​​actually the mean of the diversity of all knowledge production units in the previous iteration whose comparative knowledge products can be exported with advantage.

[0084] Repeat the above process to obtain the scarcity index of all target knowledge products in the current iteration.

[0085] Then, through the above process, multiple bidirectional iterations of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product are achieved (that is, multiple bidirectional iteration processes are achieved) until the iteration is stopped due to the preset iteration stop condition. Finally, the final diversity index of each target knowledge production unit is obtained based on the final even-numbered iteration results of the diversity index, and the final scarcity index of each target knowledge product is obtained based on the final odd-numbered iteration results of the scarcity index.

[0086] In one embodiment of the present invention, the preset iteration stop condition can be set to the number of iterations reaching the preset number of iterations, or can be set to the diversity indicators of all target knowledge production units obtained converge, and the scarcity indicators of all target knowledge products obtained converge. The preset iteration stop condition can also be set to other reasonable conditions, which are not fixed here.

[0087] Step S104, obtaining the complexity of all target knowledge production units and all target knowledge products based on the final indicators of diversity of all target knowledge production units and the final indicators of scarcity of all target knowledge.

[0088] After obtaining the final indicators of diversity of all target knowledge production units and the final indicators of scarcity of all target knowledge, the knowledge complexity can be determined based on the final indicators of diversity of all target knowledge production units and the final indicators of scarcity of all target knowledge based on actual needs. For example, the knowledge complexity of each target knowledge production unit can be reflected by sorting the final indicators of diversity from large to small, or the target knowledge production unit with the largest or smallest diversity can be obtained from all target knowledge production units to reflect the maximum or minimum value of knowledge complexity; similarly, the knowledge complexity of each target knowledge product can be reflected by sorting the final indicators of scarcity from large to small, or the target knowledge product with the largest or smallest scarcity can be obtained from all target knowledge products to reflect the maximum or minimum value of knowledge complexity; finally, the final indicators of diversity of target knowledge production units and the final indicators of scarcity in target knowledge products can be considered at the same time to obtain a complexity evaluation method that meets actual needs.

[0089] That is, this embodiment does not impose any fixed restrictions on the specific method of determining knowledge complexity, and the user can define it based on actual conditions, and will not be elaborated on here.

[0090] In an embodiment of the present invention, the present embodiment may further include the following step S105.

[0091] Step S105, representing the knowledge complexity by displaying a graph.

[0092] If there is a certain relationship between all target knowledge production units and all target knowledge products, the four-quadrant diagram or radar diagram can be used to represent the final indicators of diversity of each target knowledge production unit and the final indicators of scarcity of each target knowledge product. Specifically, among all target knowledge production units and all target knowledge products, it is determined whether there is a preset relationship between any target knowledge production unit and any target knowledge product. If so, it means that the diversity indicators of all target knowledge production units and the scarcity indicators of all target knowledge products can be represented by the four-quadrant diagram, and can also be represented by the radar diagram.

[0093] In an embodiment of the present invention, the preset relationship may be an attribute relationship or a containment relationship. The preset relationship may also be set to other reasonable attributes, which are not fixedly limited herein.

[0094] If there are target knowledge production units and target knowledge products that do not have a preset relationship between all target knowledge production units and all target knowledge products, then only radar charts can be used to represent the final diversity index of each target knowledge production unit and the final scarcity index of each target knowledge product. Specifically, among all target knowledge production units and all target knowledge products, even if there is only one target knowledge production unit and one target knowledge product that do not have a preset relationship, then the diversity index of all target knowledge production units and the scarcity index of all target knowledge products can only be represented by radar charts.

[0095] An example of a four-quadrant diagram is shown in Figure 2 As shown, the first quadrant of the four-quadrant diagram represents high diversity and high scarcity, the second quadrant represents low diversity and high scarcity, the third quadrant represents low diversity and low scarcity, and the fourth quadrant represents high diversity and low scarcity. Figure 3 As shown, each point in the radar chart represents a knowledge product, and each data in the radar chart represents the quantity or proportion of knowledge products that each knowledge production unit can produce; the larger the area of ​​the knowledge production unit in the radar chart, the higher the complexity of this knowledge production unit.

[0096] In order to fully explain the knowledge complexity acquisition method of this embodiment, two actual examples are used to further illustrate it.

[0097] Specific example 1

[0098] Take the country as the knowledge production unit, the discipline as the knowledge product, and the paper as the export method. At this time, all the target knowledge production units to be evaluated = ["A country", "B country", "C country", "D country", "E country", "F country" ...], and all the target knowledge products to be evaluated = ["mathematics", "physics", "chemistry", "computer", "economics", "biology" ...].

[0099] Take papers as the export method. For example, if the "mathematics" paper of "country A" is cited by other countries, it is recorded as the knowledge product "mathematics" of "country A" being exported once. By analogy, obtain the export quantity of each target knowledge product exported by each target knowledge production unit, the export quantity of all target knowledge products exported by each target knowledge production unit, the total export quantity of each target knowledge product, and the total export quantity of all target knowledge products. Based on the above export quantities, judge whether each target knowledge production unit has an export advantage when exporting each target knowledge product, and then obtain the diversity initialization index of each target knowledge production unit. For example, if it is obtained that "country B" can export ["mathematics", "physics", "chemistry", "computer"...], then the diversity initialization index of "country B" is the size of this set. Similarly, the diversity initialization index of all countries is obtained. At the same time, the scarcity initialization index of each target knowledge product is obtained. For example, "mathematics" can be exported by ["country B", "country C", "country A"...], then the scarcity index of "mathematics" is the size of this set.

[0100] Then, based on the diversity initialization indicators of all target knowledge production units and the scarcity initialization indicators of all target knowledge products, a two-way iteration of the diversity indicator of each target knowledge production unit and the scarcity indicator of each target knowledge product is completed. After convergence, the final diversity indicator of each target knowledge production unit and the final scarcity indicator of each target knowledge product are obtained.

[0101] At this time, it can be seen that "Country B" has the highest diversity and can export most of the "subjects". "Mathematics" is the most scarce, and "Mathematics" is the most basic.

[0102] Specific Example 2

[0103] Disciplines are used as knowledge production units, awards are used as knowledge products, and award winners are used as export methods. At this time, all target knowledge production units to be evaluated = ["mathematics", "physics", "computer", "chemistry", "biology" ...], and all target knowledge products to be evaluated = ["mathematics award", "physics award", "computer award", "chemistry award", "biology award" ...].

[0104] The winners of the awards are used as the export method. For example, if a person with a "mathematics" background wins a "physics award", the knowledge product "physics award" of "mathematics" is exported once. By analogy, the export quantity of each target knowledge product exported by each target knowledge production unit, the export quantity of all target knowledge products exported by each target knowledge production unit, the total export quantity of each target knowledge product, and the total export quantity of all target knowledge products are obtained. Based on the above export quantities, it is judged whether each target knowledge production unit has an export advantage when exporting each target knowledge product, and then the diversity initialization index of each target knowledge production unit is obtained. For example, if "mathematics" can be exported ["mathematics award", "physics award", "computer award", "chemistry award"...], then the diversity initialization index of "mathematics" is the size of this set. Similarly, the diversity initialization index of all knowledge production units is obtained. At the same time, the scarcity initialization index of each target knowledge product is obtained. For example, if "mathematics award" can be exported by [mathematics", "physics", "computer"...], then the scarcity index of "mathematics award" is the size of this set.

[0105] Then, based on the diversity initialization indicators of all target knowledge production units and the scarcity initialization indicators of all target knowledge products, a two-way iteration of the diversity indicator of each target knowledge production unit and the scarcity indicator of each target knowledge product is completed. After convergence, the final diversity indicator of each target knowledge production unit and the final scarcity indicator of each target knowledge product are obtained.

[0106] At this time, the diversity of "Mathematics" is the highest and the scarcity of "Mathematics Award" is the highest.

[0107] Awards and disciplines are attribute relationships, so the final indicators of the diversity of each target knowledge production unit and the final indicators of the scarcity of each target knowledge product can be displayed using a four-quadrant diagram. The specific four-quadrant diagram is as follows: Figure 2 As shown. The above content analysis shows that mathematics has the highest diversity and the highest scarcity. People with a mathematics background can win mathematics awards and most other awards. Mathematics awards can only be won by people with a mathematics background, which shows that mathematics is more basic and more solid.

[0108] The knowledge complexity acquisition method provided by the embodiment of the present invention determines the diversity initialization index of each target knowledge production unit and the scarcity initialization index of the target knowledge product based on the export advantage of each target knowledge product in each target knowledge production unit, so as to reflect the product export advantage as the diversity of production units and the scarcity of knowledge products, and then realizes the two-way iteration of the diversity of target knowledge production units and the scarcity of target knowledge products through nested matrices, so as to realize the close combination of the diversity of knowledge production units and the scarcity of knowledge products, so that the final diversity index of target knowledge production units and the final scarcity index of target knowledge products obtained in the end are more accurate, and are suitable for various scenarios requiring the diversity of knowledge production units or the scarcity of knowledge products to be ranked.

[0109] like Figure 4 As shown, this embodiment provides a knowledge complexity acquisition device, including a target acquisition module, an initialization indicator acquisition module, a final indicator acquisition module and a complexity situation acquisition module.

[0110] The target acquisition module is used to obtain all target knowledge production units and target knowledge products to be evaluated, and to obtain the export method when the identified target knowledge production units export the target knowledge products.

[0111] The initialization index acquisition module is used to obtain the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product based on the export mode and the export advantages of each target knowledge product in each target knowledge production unit.

[0112] The final indicator acquisition module is used to realize bidirectional iteration of the diversity indicator of each target knowledge production unit and the scarcity indicator of each target knowledge product based on the diversity initialization indicator of each target knowledge production unit and the scarcity initialization indicator of each target knowledge product through a nested matrix to obtain the final diversity indicator of each target knowledge production unit and the final scarcity indicator of each target knowledge product.

[0113] The complexity situation acquisition module is used to acquire the complexity situation of all target knowledge production units and all target knowledge products based on the final indicators of diversity of all target knowledge production units and the final indicators of scarcity of all target knowledge.

[0114] The knowledge complexity acquisition device provided in the embodiment of the present invention determines the diversity initialization index of each target knowledge production unit and the scarcity initialization index of the target knowledge product based on the export advantage of each target knowledge product in each target knowledge production unit, so as to reflect the product export advantage as the diversity of production units and the scarcity of knowledge products, and then realizes the two-way iteration of the diversity of target knowledge production units and the scarcity of target knowledge products through nested matrices, so as to realize the close combination of the diversity of knowledge production units and the scarcity of knowledge products, so that the final diversity index of target knowledge production units and the final scarcity index of target knowledge products obtained in the end are more accurate, and are suitable for various scenarios requiring the diversity of knowledge production units or the scarcity ranking of knowledge products.

[0115] The embodiment of the present application also provides a computer-readable storage medium. A person of ordinary skill in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above-mentioned storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media integrated. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a digital video disc (DVD)), or a semiconductor medium (for example, a solid-state disk (SSD)), etc.

[0116] like Figure 5 As shown, an embodiment of the present application provides a terminal.

[0117] The terminal of this embodiment includes a processor and a memory connected to each other; the memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory, so that all or part of the steps in the method of the above embodiment can be implemented when the terminal executes.

[0118] The beneficial effects of all or part of the steps of the method in the above embodiment are the same as the beneficial effects obtained by applying the terminal provided by the embodiment of the present invention, and will not be described in detail here.

[0119] It should be noted that the memory may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. Similarly, the processor may also be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0120] Although the embodiments disclosed in the present invention are as above, the contents described are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A method for acquiring knowledge complexity, comprising: Obtain all target knowledge production units and target knowledge products to be evaluated, and obtain the export method when the target knowledge production units are identified to export the target knowledge products; On the basis of the export mode, based on the export advantages of each of the target knowledge products in each of the target knowledge production units, obtaining the diversity initialization index of each of the target knowledge production units and the scarcity initialization index of each of the target knowledge products; Based on the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product, a bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product is realized through a nested matrix to obtain the final diversity index of each target knowledge production unit and the final scarcity index of each target knowledge product; Based on the final index of diversity of all the target knowledge production units and the final index of scarcity of all the target knowledge, the complexity of all the target knowledge production units and all the target knowledge products is obtained.

2. The acquisition method according to claim 1, characterized in that: On the basis of the export mode, based on the export advantage of each of the target knowledge products in the comparative knowledge production unit, obtaining the diversity initialization index of the comparative knowledge production unit includes: Sorting all the target knowledge products to obtain a knowledge product sequence; Determine whether N is less than or equal to a preset product threshold. If N is less than or equal to the preset product threshold, determine whether the comparison knowledge production unit has an export advantage when exporting the Nth target knowledge product in the knowledge product sequence. If so, add 1 to the current temporary index of diversity of the comparison knowledge production unit. Otherwise, keep the current temporary index of diversity of the comparison knowledge production unit unchanged, then add 1 to N and re-determine whether N is less than or equal to the preset product threshold. If N is greater than the preset product threshold, use the current temporary index of diversity of the comparison knowledge production unit as the initialization index of diversity of the comparison knowledge production unit. Among them, the comparison knowledge production unit is any one of all the target knowledge production units, the initial value of N is 1, the preset product threshold is the number of the target knowledge products in the knowledge product sequence, and the initial value of the diversity temporary indicator of the comparison knowledge production unit is 0.

3. The acquisition method according to claim 1, characterized in that: On the basis of the export mode, based on the export advantages of the comparative knowledge product in each of the target knowledge production units, obtaining the scarcity initialization index of the comparative knowledge product includes: sorting all the target knowledge production units to obtain a knowledge production unit sequence; Determine whether M is less than or equal to a preset production unit threshold. If M is less than or equal to the preset production unit threshold, determine whether the Mth target knowledge production unit in the knowledge production unit sequence has an export advantage when exporting the comparative knowledge product. If so, add 1 to the current temporary index of scarcity of the comparative knowledge product. Otherwise, keep the current temporary index of scarcity of the comparative knowledge product unchanged, then add 1 to M and re-determine whether M is less than or equal to the preset production unit threshold. If M is greater than the preset production unit threshold, use the current temporary index of scarcity of the comparative knowledge product as the initialization index of scarcity of the comparative knowledge product. Among them, the comparison knowledge product is any one of all the target knowledge products, the initial value of M is 1, the preset production unit threshold is the number of the target knowledge production units in the knowledge production unit sequence, and the initial value of the temporary indicator of scarcity of the comparison knowledge product is 0.

4. The acquisition method according to claim 1, characterized in that: The bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product is realized by nesting the matrix to obtain the final diversity index of each target knowledge production unit and the final scarcity index of each target knowledge product, including: Bidirectional iteration of the diversity index of each target knowledge production unit and the scarcity index of each target knowledge product is achieved through nested matrices until the preset iteration stop condition is met. The final diversity index of each target knowledge production unit is obtained based on the final even-numbered iteration results of the diversity index, and the final scarcity index of each target knowledge product is obtained based on the final odd-numbered iteration results of the scarcity index.

5. The acquisition method according to claim 4, characterized in that: A single iteration of the nested matrix to compare the diversity indicators of knowledge production units includes: The scarcity index of each target knowledge product obtained in the previous iteration Multiplying the production index of the comparative knowledge production unit with the production index of the comparative knowledge production unit to obtain the unit production value, summing up all the unit production values ​​and dividing them by the diversity initialization index of the comparative knowledge production unit to obtain the diversity index of the comparative knowledge production unit of the current iteration; Among them, the comparison knowledge production unit is any one of all the target knowledge production units. When the comparison knowledge production unit has an export advantage in exporting the target knowledge product, the production index of the target knowledge product relative to the comparison knowledge production unit is set to 1, otherwise the production index of the target knowledge product relative to the comparison knowledge production unit is set to 0.

6. The acquisition method according to claim 4, characterized in that: The single iteration process of comparing the scarcity index of knowledge products through the nested matrix includes: Multiply the diversity index of each target knowledge production unit obtained in the previous iteration by its production index relative to the comparative knowledge product to obtain the product production value, sum all the product production values ​​and divide them by the scarcity initialization index of the comparative knowledge product to obtain the scarcity index of the comparative knowledge product in the current iteration; Among them, the comparative knowledge product is any one of all the target knowledge products. When the target knowledge production unit has an export advantage in exporting the comparative knowledge product, the production index of the target knowledge production unit relative to the comparative knowledge product is set to 1, otherwise the production index of the target knowledge production unit relative to the comparative knowledge product is set to 0.

7. The acquisition method according to claim 2, 3, 5 or 6, characterized in that: Judging whether the comparative knowledge production unit has export advantages when exporting comparative knowledge products includes: Take the export volume of the comparative knowledge product exported by the comparative knowledge production unit as a separate export volume, take the export volume of all the target knowledge products exported by the comparative knowledge production unit as a separate total export volume, take the export volume of the comparative knowledge product exported by all the target knowledge production units as the overall export volume, and take the export volume of all the target knowledge products exported by all the target knowledge production units as the overall total export volume, and judge whether the ratio of the separate export volume to the separate total export volume is greater than the ratio of the overall export volume to the overall total export volume. If so, it is judged that the comparative knowledge production unit has an export advantage in exporting the comparative knowledge product. Otherwise, it is judged that the comparative knowledge production unit does not have an export advantage in exporting the comparative knowledge product. The comparative knowledge production unit is any one of all the target knowledge production units, and the comparative knowledge product is any one of all the target knowledge products.

8. The acquisition method according to claim 1, characterized in that: Also includes: When there is a preset relationship between all the target knowledge production units and all the target knowledge products, the complexity of all the target knowledge production units and all the target knowledge products is represented by a four-quadrant diagram or a radar diagram; When there is no preset relationship between any of the target knowledge production units and any of the target knowledge products, the complexity of all the target knowledge production units and all the target knowledge products is represented by a radar chart; Among them, the preset relationship is an attribute relationship or an inclusion relationship.

9. A method and device for acquiring knowledge complexity, characterized in that: It includes a target acquisition module, an initialization indicator acquisition module, a final indicator acquisition module and a complexity situation acquisition module; The target acquisition module is used to acquire all target knowledge production units and target knowledge products to be evaluated, and to acquire the export method when the target knowledge production unit is identified to export the target knowledge product; The initialization index acquisition module is used to acquire the diversity initialization index of each target knowledge production unit and the scarcity initialization index of each target knowledge product based on the export mode and the export advantage of each target knowledge product in each target knowledge production unit; The final indicator acquisition module is used to implement bidirectional iteration of the diversity indicator of each target knowledge production unit and the scarcity indicator of each target knowledge product through a nested matrix based on the diversity initialization indicator of each target knowledge production unit and the scarcity initialization indicator of each target knowledge product, so as to obtain the final diversity indicator of each target knowledge production unit and the final scarcity indicator of each target knowledge product; The complexity situation acquisition module is used to acquire the complexity situation of all the target knowledge production units and all the target knowledge products based on the final diversity indicators of all the target knowledge production units and the final scarcity indicators of all the target knowledge.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the knowledge complexity acquisition method according to any one of claims 1 to 8 is implemented.

11. A terminal comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the knowledge complexity acquisition method according to any one of claims 1 to 8.

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