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A social network important target and community group identification method

A technology of social network and identification method, which is applied in the direction of data exchange network, digital transmission system, electrical components, etc., to achieve the effect of strong information collection ability, improved coverage rate, and improved identification accuracy rate

Inactive Publication Date: 2015-09-30
WUHAN UNIV
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Problems solved by technology

[0016] The main goal of the present invention is to solve the important target identification and analysis for new social network platforms such as Weibo

Method used

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  • A social network important target and community group identification method
  • A social network important target and community group identification method

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Experimental program
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Embodiment

[0074] The calculation of the influence of the embodiment includes the following main steps:

[0075] Step 4.1, Quantify the Three Measures of IR Value

[0076] The value of user influence IR is determined by three measurement factors, namely: the user's network centrality, user activity, and user interaction. Let v represent any user node in the hybrid network, let v represent the user object at any node in the hybrid social network topology, and all nodes connected to v in the hybrid social network topology constitute the user object v in the hybrid social network Topological set of friends f(v). Any network friend of the user object v in the friend set f(v) of the hybrid social network topology is recorded as the user object u. D(N V ) represents the final centrality obtained according to the attention relationship between the user object v and the user object u, and the specific calculation method can adopt the existing technology. B(Nv) is the activity of user object ...

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Abstract

The invention provides a method for distinguishing important goals and community groups of a social network. The method comprises steps of combining a static friend network and an active network of a user to establish dynamic social network topology, proposing an InfluenceRank algorithm, comprehensively marking the user influence of the dynamic social network, reducing the weight of a user who interacts with a core user at a low frequency, introducing prior expert knowledge of the user, deleting the core noise point and correcting results. The prior community discovery technology is modified from the accuracy, the covering level and the efficiency and the method has wide application prospects in social computing, public opinion monitoring and corporate marketing.

Description

technical field [0001] The invention relates to the technical field of social computing, in particular to an important social network target and a community group identification method. Background technique [0002] With the popularization of Web2.0, social networks have gradually become an indispensable part of people's work and life. China's Internet penetration rate has gradually climbed to 36.2%. Facebook, the social network, had more than 900 million users at the end of 2011, a figure larger than the total population of most countries in the world. More and more people display their work, study, and life in different ways on social networks. At the same time, with the development of related technologies such as cloud platforms, people can access their social network platforms at any time, any place, and using any terminal, and obtain an undifferentiated user experience to a certain extent. However, the relative growth in China is particularly significant when compare...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08H04L12/58
Inventor 彭敏武斌汪清黄佳佳代心媛
Owner WUHAN UNIV
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