A Semantically Structured Approach to Service Community Discovery

Zhao, Anping; Ma, Yan

doi:10.1109/skg.2012.10

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…In their research, Zhu, et al combine topicmodeling with link structure. A. Zhao and Ma proposed a framework to apply a semantically structured approach to the Web service community modeling and discovery [13].…”

Section: Related Workmentioning

confidence: 99%

Evaluating the effect of topic consideration in identifying communities of rating-based social networks

Reihanian

Minaei-Bidgoli

Yousefnezhad

2015

2015 7th Conference on Information and Knowledge Technology (IKT)

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Finding meaningful communities in social network has attracted the attentions of many researchers. The community structure of complex networks reveals both their organization and hidden relations among their constituents. Most of the researches in the field of community detection mainly focus on the topological structure of the network without performing any content analysis. Nowadays, real world social networks are containing a vast range of information including shared objects, comments, following information, etc. In recent years, a number of researches have proposed approaches which consider both the contents that are interchanged in the networks and the topological structures of the networks in order to find more meaningful communities. In this research, the effect of topic analysis in finding more meaningful communities in social networking sites in which the users express their feelings toward different objects (like movies) by the means of rating is demonstrated by performing extensive experiments.

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Section: Related Workmentioning

confidence: 99%