Topic-oriented community detection of rating-based social networks
نویسندگان
چکیده
منابع مشابه
Overlapping Community Detection in Social Networks Based on Stochastic Simulation
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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Research on the community detection in social tagging networks has attracted much attention in the last decade. Extracting the hidden topic information from tags provides a new way of thinking for community detection in social tagging networks. In this paper, a topic tagging network by extracting several topics from the tags through using the Latent Dirichlet Allocation (LDA) model is built fir...
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0950-7051/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.knosys.2011.07.017 ⇑ Corresponding author at: Shenzhen Institutes of A Academy of Sciences, Shenzhen 518055, China. E-mail addresses: [email protected], zy.zhao10@ @siat.ac.cn (S. Feng), [email protected] (Q. (J.Z. Huang), [email protected] (G.J. W Fan) . Community detection is an important issue in social network ...
متن کاملoverlapping community detection in social networks based on stochastic simulation
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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One of the most common styles of business today is electronic business, since it is considered as a principal mean for financial transactions among advanced countries. In view of the fact that due to the evolution of human knowledge and the increase of expectations following that, traditional marketing in electronic business cannot meet current generation’s needs, in order to survive, organizat...
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ژورنال
عنوان ژورنال: Journal of King Saud University - Computer and Information Sciences
سال: 2016
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2015.07.001