Community Detection In Networks
Bayesian stochastic blockmodels for community detection in networks and community-structured covariance selection
... gregarious community behavior by requiring, through prior specification, that the probability of within-community associa- tions to be no smaller than the probability of between-community ...mixing ...
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Community detection in networks: a game theoretic framework
... a community structure-related probabilistic generative process and the community detection problem is posed as a statistical inference ...node’s community affiliation strengths among all the ...
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Community detection in networks without observing edges
... most community detection methods rely on the assumption that the network edges have been accurately observed ...in networks, is based on comparing the network to a null model that does not apply to ...
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Community Detection in Networks
... local community detection problem. Ad hoc networks usually have no centrally maintained routing tables which specify the way of communication between ...shows community structure in a ...
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Community Detection in Complex Networks
... formulate community detection as a multi-objective optimisa- tion ...Based Community Detection in Networks (MOEA-CD) is used to optimise two new contradictory objectives ...static ...
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Online Community Detection for Large Complex Networks
... Complex networks describe a wide range of sys- tems in nature and ...plex networks, it is crucial to investigate their inter- nal ...online community detection method for large complex ...
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Multi Comm_Plus: A Community Detection System for Identification of Community in Multi-Dimensional Networks
... information networks is a problem of considerable interest. Community detection is a common area in graph data computations and data mining computations [1] ...group. Networks can be either ...
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Towards Contextualizing Community Detection in Dynamic Social Networks
... of community detection, another issue arises around the multiplexes graphs in order to deal with the multiple aspects of relationships within social ...bibliographic networks, [23] defines it as a ...
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An Analysis of Overlapping Community Detection Algorithms in Social Networks
... In the field of research, Social Network Analysis is prevalent domain which pulls the attention of many data mining experts. Social network analysis is the specific field of sociology and anthropology. It shares a number of ...
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A STUDY ON EFFICIENT COMMUNITY DETECTION TECHNIQUES IN SOCIAL NETWORKS
... A community in a social network can also be defined as a collection of users considered as a group such that there are high interrelations or associations among members within the ...social networks and ...
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Research on Community Center metric and Community Detection Algorithm for Complex Networks
... complex networks, such as interpersonal networks [1] , collaboration networks of scientific research communities [2] , journal citation networks [3] , information network [4] ,protein ...
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Improved spectral community detection in large heterogeneous networks
... of networks into communities (Fortunato, ...the community memberships to continuous scores, it is shown that approximate modularity maximization and even statistical inference methods can be performed via a ...
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Community Detection in Social Networks Considering Topic Correlations
... of community detec- tion in networks has become a hot topic (Newman 2006; Fortunato and Hric ...interpret networks functions and characteristics. Community is defined as a group of nodes that ...
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A new approach for community detection in multilayer networks.
... real-world networks is also expressed by the presence of different type of inter- actions among nodes; such networks are named multilayer ...weighted networks in a unified ...world networks, ...
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Parallel $(k)$-Clique Community Detection on Large-Scale Networks
... k-clique community detection method is the CPM ...real-world networks we studied has a number of maximal cliques greater than few millions—this means that their actual number is from tens to tens of ...
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Mathematical Model and Algorithm for Link Community Detection in Bipartite Networks
... network community structure is one of the main characteristics of bipartite networks and very helpful for understanding the functions of these ...link community detection problem of bipartite ...
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Community detection, link prediction, and layer interdependence in multilayer networks
... multilayer community detection are based on fitting various generative models via Bayesian inference or maximum-likelihood estimation ...homophilic community structure, meaning that nodes are more ...
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Consistent community detection in uni-layer and multi-layer networks
... layer networks [51], the same problem for multi-layer networks has not been studied well in the literature until ...for community detection in both uni-layer and multi-layer ...multi-layer ...
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Community Detection by Consensus Genetic-based Algorithm for Directed Networks
... in networks is a commonly used form of network ...of community detection algorithms in the literature to perform this ...of community detection algorithms in directed networks is ...
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Topic-oriented community detection of rating-based social networks
... social networks contain a vast range of information including shared objects, comments, following information, ...of networks is an interesting research area and has attracted the attention of many ...The ...
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