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Dynamic community detection method in social network

A technology of social network and detection method, applied in the field of dynamic community detection, can solve the problem that the effect and efficiency are difficult to meet the requirements

Inactive Publication Date: 2014-03-26
FUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the face of large-scale social network scenarios, existing methods are difficult to meet the requirements in terms of effectiveness and efficiency

Method used

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  • Dynamic community detection method in social network
  • Dynamic community detection method in social network
  • Dynamic community detection method in social network

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Embodiment Construction

[0052] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0053] figure 1 It is an implementation flow chart of the dynamic community detection method in the social network of the present invention. Such as figure 1 As shown, the method includes the following steps:

[0054] Step A: Get a Social Networking Moment t i-1 snapshot data, as the initial social network snapshot, and construct a social network graph with social network users as nodes and user relationships as edges G i-1 =( V i-1 , E i-1 ), V i-1 Express time t i-1 social network graph G i-1 set of nodes, E i-1 Express time t i-1 social network graph G i-1 set of edges.

[0055] For example, for the microblog network, each registered microblog user is regarded as a node in the social network, and the mutual attention and comment relationship between users is regarded as an edge in the social network; for the collabora...

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Abstract

The invention relates to the technical field of social networks, in particular to a dynamic community detection method in the social network. The method comprises the steps that a snapshot of a certain time slice (moment) of the social network is obtained for the social network changing dynamically, and then a social network chart is constructed; community division is carried out on the social network chart of the initial moment, and the snapshot of a subsequent certain time slice (moment) of the social network is compared with the snapshot of a former moment to find an increment node set; the proportion occupied by increment nodes is calculated, if the proportion of the increment nodes exceeds a specified threshold value, community division is carried out on a complete snapshot network, and otherwise, community division is carried out on the increment node set, and then the community structure of the snapshot of a certain time slice (moment) of the social network is obtained. The method can effectively explore the community structure in the social network and can be applied to the fields of target group mining and precision marketing.

Description

technical field [0001] The invention relates to the technical field of social network, in particular to a dynamic community detection method in social network. Background technique [0002] Detecting community structure from social networks is an important task in social network analysis, both in theory and in practical applications. By mining the community structure in the network, we can discover the hidden organizational structure information, social functions and interesting attributes among community members, such as common hobbies, etc. in the network. By studying the relationships between communities, individuals, and individuals and communities in social networks, a large amount of valuable information can be mined, which can be applied in many fields. [0003] Most of the existing community detection methods are based on static social networks, that is, it is considered that the node set and edge set in the social network are invariable, and the community structure...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/958G06Q50/01
Inventor 陈羽中陈国龙郭文忠邱晓辉
Owner FUZHOU UNIV
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