一种基于最大熵原理的社交网络用户关系分析模型

doi:10.11999/JEIT160605

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Abstract

Within the evolution and development of social networks, the establishment of relationships among the users is affected by various factors. By analyzing user behavior data and relationship data in social network, this study tries to detect the key factors that affect the formation of relationship among users. Firstly, considering the complex driving factors for the user relationship establishment, the factors are extracted and the impact factor functions are defined from personal attributes, friendships and community driving. Secondly, in order to quantify driving factors and assign weight, a user relationship analysis model based on the principle of maximum entropy is proposed. The model is, when choosing features, characterized by its independence from?the association among features, and can also quantify the strength of various factors that drive users to establish relationship. Furthermore, the key factors that affect the user relationship can be detected and the development trend of user relationship can be analyzed. Experimental results reveal that the proposal model can not only quantify the strength of each factor that drives relationship establishment, it can also predict the user relationship effectively.

Key words： Social network User relationship Situation analysis Principle of maximum entropy

Received: 07 June 2016 Published: 22 January 2017

PACS:

TP391

Fund:

The National 973 Program of China (2013CB 329606), The National Natural Science Foundation of China (61272400), Chongqing Youth Innovative Talent Project (cstc2013 kjrc-qnrc40004), Ministry of Education of China and China Mobile Research Fund (MCM20130351), Chongqing Graduate Research and Innovation Project (CYS14146), Science and Technology Research Program of the Chongqing Municipal Education Committee (KJ1500425), WenFeng Foundation of CQUPT (WF201403)

Corresponding Authors: XIAO Yunpeng E-mail: xiaoyp@cqupt.edu.cn

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	XIAO Yunpeng
	YANG Guang
	LIU Yanbing
	WU Bin

Cite this article:

XIAO Yunpeng,YANG Guang,LIU Yanbing等. Social Relationship Analysis Model Based on the Principle of Maximum Entropy[J]. JEIT, 2017, 39(4): 778-784.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160605 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I4/778

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