NDLI: A new network core mining method based on node core influence degree

Content Provider	IEEE Xplore Digital Library
Author	Wan Guofeng Tian Hong
Copyright Year	2010
Description	Author affiliation: School of Software, DaLian JiaoTong University, LiaoNing, China (Wan Guofeng; Tian Hong)
Abstract	A major problem in Social Network Analysis and Link Discovery is the discovery of core nodes. This paper provides a community core discovery method based on node core influence degree. This method defines a new standard for measuring the centrality of the node. Through the node coverage, influence level and differences from the other nodes, we measure the core nodes in these three aspects. We applied this method to a random generation set of undirected graph with weight. Compared with the results from degree centrality, the results show the higher accuracy and reasonable in this method.
Starting Page	482
Ending Page	486
File Size	445692
Page Count	5
File Format	PDF
ISBN	9781424455850
e-ISBN	9781424455867
DOI	10.1109/ICCAE.2010.5451429
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-02-26
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wide area networks Social Network Analysis Core Influence Degree Social network services Terrorism Software algorithms Blogs Centre Coverage Factor Explosions Spline Information analysis Centrality analysis Difference Factor Measurement standards Internet
Content Type	Text
Resource Type	Article

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A new network core mining method based on node core influence degree