A fuzzy sns community centrality analysis method and a case study on Ren Ren Net in China

Publication Type:
Conference Proceeding
Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014, 2014, pp. 530 - 535
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© 2014 by World Scientific Publishing Co. Pte. Ltd. All rights reserved. Social networking services (SNS) have had a rapid development. To explore the interpersonal node spatial distribution characteristics in SNS community, a fuzzy SNS community centrality analysis method is proposed, which combines graph-theory with related fuzzy approaches. A case study on two types of topic groups in Ren Ren Net is conducted. The study finds that centralization characteristics exist in the interpersonal node spatial distribution in SNS community and present significant difference among groups of different relation types. The findings can directly support the SNS management and development.
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