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

Lu, Z; Zhang, Q; Wu, D; Gao, F

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

Lu, Z Zhang, Q Wu, D

Gao, F

Permalink

Publication Type:: Conference Proceeding
Citation:: Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014, 2014, pp. 530 - 535
Issue Date:: 2014-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted Manuscript versionAdobe PDF (251.75 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Lu, Z	en_US
dc.contributor.author	Zhang, Q	en_US
dc.contributor.author	Wu, D https://orcid.org/0000-0002-2499-5159	en_US
dc.contributor.author	Gao, F	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014, 2014, pp. 530 - 535	en_US
dc.identifier.isbn	9789814619967	en_US
dc.identifier.uri	http://hdl.handle.net/10453/36235
dc.identifier.uri	http://hdl.handle.net/10453/35616
dc.description.abstract	© 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.	en_US
dc.relation.ispartof	Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014	en_US
dc.title	A fuzzy sns community centrality analysis method and a case study on Ren Ren Net in China	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Joao Pessoa (Paraiba), Brazil
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/35616