Symbol network link prediction method and terminal device
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A technology of symbolic network and prediction method, applied in the field of social network analysis, can solve problems such as low prediction accuracy, achieve large prediction accuracy and accuracy, and improve the effect of accuracy
Inactive Publication Date: 2018-02-23
YANSHAN UNIV
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[0004] In view of this, the embodiment of the present invention provides a symbolic network link prediction method and terminal equipment, which solves the problem of low prediction accuracy in the link prediction of the existing symbolic network, and meets the needs of the link prediction of the existing symbolic network
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Embodiment 1
[0032] figure 1 Fig. 1 shows the implementation process of the symbolic network link prediction method provided by Embodiment 1 of the present invention. In this embodiment, the angle triggering of the terminal is used as an example for illustration. Here, the terminal may be a mobile terminal such as a smart phone or a tablet computer. Such as figure 1 As shown, in this embodiment, the processing procedure of the terminal may include the following steps:
[0033] Step S101, obtaining vertex pairs with known relationships and vertex pairs with unknown relationships in the symbolic network.
[0034] Here, the input symbol network knows the relationship between entities (vertices), that is, the edge set E={v i ,v j , sign}; and the vertex pair (v k ,v s ). Among them, sign=1 means v i and v j There is a positive relationship between them (such as friends, trust, cooperation, etc.); among them, sign=-1 means v i and v j There is a negative relationship between them (suc...
Embodiment 2
[0079] Corresponding to the symbolic network link prediction method described in the above embodiments, image 3 A structural block diagram of an apparatus for predicting symbolic network links provided by an embodiment of the present invention is shown, and for ease of description, only parts related to this embodiment are shown.
[0080] refer to image 3 , the device includes a vertex acquisition unit 301 , an attribute determination unit 302 , a weight determination unit 303 , an i value determination unit 304 , an i value sign determination unit 305 , a relationship value determination unit 306 and a link prediction unit 307 .
[0081] Among them, the vertex acquisition unit 301 is used to acquire vertex pairs with known relationship and vertex pairs with unknown relationship in the symbolic network. The attribute determination unit 302 is configured to calculate the neighbor set of the vertex pair with unknown relationship, and calculate the same attribute set, anti-att...
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Abstract
The present invention is applicable to the field of social network analysis, and provides a symbol network link prediction method and a terminal device. The method comprises: obtaining a vertex pair of a known relationship and a vertex pair of an unknown relationship in a symbol network; calculating a neighbor set of the vertex, and according to the calculated neighbor set, calculating a same attribute set, an inverse attribute set, and a different attribute set; according to the calculated neighbor set, the same attribute set, the inverse attribute set, and the different attribute set, calculating the weight; according to the calculated neighbor set, calculating an i value, and further calculating an i-value sign, wherein the i value represents the probability that the different attributeis converted to the same attribute or the inverse attribute; according to the calculated neighbor set, the same attribute set, the inverse attribute set, the different attribute set, the i value andthe i-value sign, calculating a relational value of the vertex pair of the unknown relationship; and according to the calculated relational value, carrying out symbol network link prediction, so thatthe precision and accuracy of the prediction are improved, and the method is suitable for application.
Description
technical field [0001] The invention belongs to the field of social network analysis, and in particular relates to a symbolic network link prediction method and a terminal device. Background technique [0002] A network is composed of vertices and links, representing many objects and their interrelationships. Mathematically, a network is a graph, which is generally considered to refer to a weighted graph. In addition to the mathematical definition, the network has a specific physical meaning, that is, the network is a model abstracted from a certain type of practical problem. In the computer field, the network is a virtual platform for information transmission, reception, and sharing, through which the information of various points, surfaces, and bodies is linked together, so as to realize the sharing of these resources. The network is the most important invention in the history of human development, which has improved the development of technology and human society. The ...
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