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Quantitative Similarity Evaluation of Internet Social Network Entities Based on Supernetwork
Joint Authors
Li, Shenghong
Zhang, Zhiyuan
Li, Jianhua
Chen, Xiuzhen
Source
Journal of Computer Networks and Communications
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-07-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
How to accurately characterize similarities of entities is the basis of detecting virtual community structure of an Internet social network.
This paper proposes a supernetwork based approach of quantitative similarity evaluation among entities with two indices of friend relation and interest similarity.
The supernetwork theory is firstly introduced to model the complex relationship of online social network entities by integrating three basic networks: entity, action, and interest and establishing three kinds of mappings: from entity to action, from action to interest, and from entity to interest, that is, one hidden relation mined through the transfer characteristic of visible mappings.
And further similarity degree between two entities is calculated by weighting the values of two indices: friend relation and interest similarity.
Experiments show that this model not only can provide a more realistic relation of individual users within an Internet social network, but also, build a weighted social network, that is, a graph in which user entities are vertices and similarities are edges, on which the values record their similarity strength relative to one another.
American Psychological Association (APA)
Chen, Xiuzhen& Li, Shenghong& Li, Jianhua& Zhang, Zhiyuan. 2011. Quantitative Similarity Evaluation of Internet Social Network Entities Based on Supernetwork. Journal of Computer Networks and Communications،Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-449822
Modern Language Association (MLA)
Chen, Xiuzhen…[et al.]. Quantitative Similarity Evaluation of Internet Social Network Entities Based on Supernetwork. Journal of Computer Networks and Communications No. 2011 (2011), pp.1-9.
https://search.emarefa.net/detail/BIM-449822
American Medical Association (AMA)
Chen, Xiuzhen& Li, Shenghong& Li, Jianhua& Zhang, Zhiyuan. Quantitative Similarity Evaluation of Internet Social Network Entities Based on Supernetwork. Journal of Computer Networks and Communications. 2011. Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-449822
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449822