Results 51 to 60 of about 1,660,780 (281)
IEEE Access, 2019 Community structures are integral and independent parts in a network. Community detection plays an important role in social networks for understanding the structure and predicting user behaviors.
Xiaohui Pan +3 more
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Quality functions in community detection
, 2007 Community structure represents the local organization of complex networks and the single most important feature to extract functional relationships between nodes. In the last years, the problem of community detection has been reformulated in terms of the
Fortunato, Santo
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Intrinsically Dynamic Network Communities [PDF]
, 2011 Community finding algorithms for networks have recently been extended to dynamic data. Most of these recent methods aim at exhibiting community partitions from successive graph snapshots and thereafter connecting or smoothing these partitions using ...
Mitra, Bivas +2 more
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Nearest Neighbor Search in the Metric Space of a Complex Network for Community Detection
Information, 2016 The objective of this article is to bridge the gap between two important research directions: (1) nearest neighbor search, which is a fundamental computational tool for large data analysis; and (2) complex network analysis, which deals with large real ...
Suman Saha, Satya P. Ghrera
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A vertex-similarity clustering algorithm for community detection
Journal of Information and Telecommunication, 2020 Communities in networks are considered to be groups of vertices with higher probability of being connected to each other than to members of other groups.
Antonio Maria Fiscarelli +3 more
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A Memetic Algorithm for Community Detection in Signed Networks
IEEE Access, 2020 Community discovery (i.e. community detection) in signed networks is a division of nodes, such that the edges in the communities are positive and the edges between the communities are negative.
Shiwei Che, Wu Yang, Wei Wang
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Fast Detection of Community Structures using Graph Traversal in Social Networks
, 2018 Finding community structures in social networks is considered to be a challenging task as many of the proposed algorithms are computationally expensive and does not scale well for large graphs.
Basuchowdhuri, Partha +5 more
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Community Detection for Correlation Matrices [PDF]
Physical Review X, 2015 Final version, accepted for publication on ...
MacMahon, M., Garlaschelli, D.
openaire +5 more sources
Generating Ensembles of Gene Regulatory Networks to Assess Robustness of Disease Modules
Frontiers in Genetics, 2021 The use of biological networks such as protein–protein interaction and transcriptional regulatory networks is becoming an integral part of genomics research.
James T. Lim +4 more
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Discovering Communities of Community Discovery [PDF]
, 2019 Discovering communities in complex networks means grouping nodes similar to each other, to uncover latent information about them. There are hundreds of different algorithms to solve the community detection task, each with its own understanding and ...
Amelio Alessia +5 more
core +2 more sources