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Data acquisition and analysis system based on social network

A technology of data collection and analysis system, applied in the field of big data analysis, can solve problems such as low collection efficiency

Pending Publication Date: 2021-05-14
HUNAN UNIV OF HUMANITIES SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since this patent document does not formulate any collection strategy, the cost and computing overhead of data collection have not been reduced. At the same time, massive data is crawled aimlessly, resulting in the collection of more useless data and garbage data, which makes the collection efficiency low.

Method used

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  • Data acquisition and analysis system based on social network

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] This embodiment provides a data collection and analysis system based on a social network, which may be a data collection system or method, a big data collection system or method, a data search system or method, or a data collection system or method. It can be a scheduling method based on crawler-collected data. The data collection system or method provided in this embodiment can also be applied to other networks except social networks, including but not limited to biological networks (such as protein networks), commodity sales networks, communication networks, wireless sensor networks, logistics networks, etc. nodes and networks that generate massive amounts of data. The above systems and / or methods may be implemented by the systems and / or other alternative components of the present invention. For example, the system of the present invention is implemented by using various components in the system of the present invention. The whole and / or part of the contents of the ...

Embodiment 2

[0089] This embodiment is a further improvement and / or supplement to Embodiment 1, and repeated content will not be repeated.

[0090] This embodiment further supplements the collection strategies of other nodes after the implicit relationship mining in the data collection process in the data collection and analysis system of Embodiment 1.

[0091] Preferably, the processor 10 is configured to randomly select nodes that have not been collected to perform data collection with a time-fair collection strategy under the condition of determining the implicit relationship between multiple intermediate nodes. The time-fair acquisition strategy is as follows:

[0092] The processor 10 is configured to randomly select at least one node that has not been selected and collected for data collection;

[0093] The processor 10 is configured to select a new node every third time interval;

[0094]The processor 10 is configured to adjust the processing priority of the new node to the highes...

Embodiment 3

[0097] This embodiment provides a social network-based data analysis system, which may be a social network-based data analysis method, or a big data analysis system or method. The data analysis system or method provided in this embodiment can also be applied to networks other than social networks, including but not limited to biological networks (such as protein networks), commodity sales networks, communication networks, wireless sensor networks, logistics networks, etc. nodes and networks that generate large amounts of data. The above systems and / or methods can be realized by the system of the present invention and / or other alternative components. For example, the system of the present invention is realized by using various components in the system of the present invention. In the case of no conflict or contradiction, the whole and / or part of the content of the preferred implementations of other embodiments may serve as supplements to this embodiment.

[0098] The data ana...

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Abstract

The invention relates to a data acquisition and analysis system based on a social network, and the system at least comprises a processor which is configured to obtain a topological structure at least comprising a central node, an edge node and / or an indirect node of the social network; randomly selecting at least two center nodes as the start of data acquisition, and establishing a first storage space comprising indirect nodes and / or edge nodes based on each center node; and searching an indirect node / edge node connected with the at least two center nodes based on the first storage space, and performing data acquisition in a direction facing the indirect node / edge node. Through the setting mode, the implicit connection relation can be prevented from being ignored, the data of relatively deep nodes can be acquired after a short time, and the data acquisition efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a data collection and analysis system based on a social network. Background technique [0002] With the development of network applications and mobile devices, the popularity and usage of social networks are increasing. Compared with traditional network application forms, social networks have the characteristics of strong user subjectivity, diverse network features, rich data content, close group interaction, and rapid information dissemination. The number of Internet users in China has jumped to the first place in the world, and Internet users generate a large amount of network behavior data on social networking sites or major portal platforms every day. In particular, the use of instant messaging, self-media tools such as WeChat, Weibo, and bracelets, as well as personal status sensing devices, enables each user to generate data at any time, and the entire society ha...

Claims

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Application Information

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IPC IPC(8): G06F16/906G06F16/951G06F16/955G06Q50/00
CPCG06F16/906G06F16/951G06F16/955G06Q50/01
Inventor 刘诗海
Owner HUNAN UNIV OF HUMANITIES SCI & TECH
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