community detection is a task of fundamental importance in social network analysis. community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. there exist a variety of methods for community detection based on diffe...

Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...

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in recent years, natural disasters and the accompanying health risks have become more frequent, and rehabilitation work has become an important part of government performance. on one hand, social networks play an important role in participants' therapeutic community participation and physical & mental recovery. on the other hand, therapeutic communities with widespread participation can also co...

Today, e-commerce has occupied a large volume of economic exchanges. It is known as one of the most effective business practices. Predicted trust which means trusting an anonymous user is important in online communities. In this paper, the trust was predicted by combining two methods of multiplex network and community detection. In modeling the network in terms of a multiplex network, the relat...

scientific communications network is presented in, sociology of science. and we can use steven's evaluative bibliometrics to map it. in citation network approach, scientist's communication behavior is predicted through their citation behavior. in this paper, first, concepts such as sociology of science, scientific community, scientific communications and its kinds are described. two k...

In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...

With the rapid development and advancement of virtual communities and collaboration, it raises both opportunities and challenges for the online community members. Professional online communities have formed and flourished rapidly with the proliferation of network access in the past two decades. This study aims to explore the activeness of professional online community members by proposing a fra...