Results 1 to 10 of about 1,651,072 (158)
A Community Detection Model Based on Dynamic Propagation-Aware Multi-Hop Feature Aggregation [PDF]
EntropyCommunity detection is a crucial technique for uncovering latent network structures, analyzing group behaviors, and understanding information dissemination pathways.
Chao Lei +5 more
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Network Community Detection on Metric Space
Algorithms, 2015 Community detection in a complex network is an important problem of much interest in recent years. In general, a community detection algorithm chooses an objective function and captures the communities of the network by optimizing the objective function,
Suman Saha, Satya P. Ghrera
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Community detection in large hypergraphs. [PDF]
Sci Adv, 2023 Hypergraphs, describing networks where interactions take place among any number of units, are a natural tool to model many real-world social and biological systems. Here, we propose a principled framework to model the organization of higher-order data.
Ruggeri N +3 more
europepmc +5 more sources
A Stochastic Approach to Generalized Modularity Based Community Detection [PDF]
EntropyWe study a stochastic approach to generalized modularity-based community detection by comparing two variants of the aforementioned approach to the standard modularity-based approach. In particular, we compare means and distributions. We also confirm that
James Tipton, Jordan Langston
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Extreme Value Statistics of Community Detection in Complex Networks with Reduced Network Extremal Ensemble Learning (RenEEL) [PDF]
EntropyArguably, the most fundamental problem in Network Science is finding structure within a complex network. Often, this is achieved by partitioning the network’s nodes into communities in a way that maximizes an objective function.
Tania Ghosh +2 more
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A hybrid method for community detection based on user interactions, topology and frequent pattern mining [PDF]
مجله مدل سازی در مهندسی, 2023 In recent years, community detection in social networks has become one of the most important research areas. One of the ways to community detection is to use interactions between users. There are different types of interactions in social networks, which,
Somaye Sayari +2 more
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Bayesian Community Detection [PDF]
Neural Computation, 2012 Many networks of scientific interest naturally decompose into clusters or communities with comparatively fewer external than internal links; however, current Bayesian models of network communities do not exert this intuitive notion of communities.
Mørup, Morten, Schmidt, Mikkel N
openaire +3 more sources
Frontiers in Physics, 2022 With the expansion of globalization, the internationalization of education has become an essential strategy for developing in various countries. To obtain higher education, more and more students decide to study abroad.
Mingwei Cui +4 more
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Criminal Network Community Detection Using Graphical Analytic Methods: A Survey [PDF]
EAI Endorsed Transactions on Energy Web, 2020 Criminal networks analysis has attracted several numbers of researchers as network analysis gained its popularity among professionals and researchers. In this study, we have presented a comprehensive review of community detection methods based on graph ...
Theyvaa Sangkaran +2 more
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Exploring 3D community inconsistency in human chromosome contact networks
Journal of Physics: Complexity, 2023 Researchers have developed chromosome capture methods such as Hi-C to better understand DNA’s 3D folding in nuclei. The Hi-C method captures contact frequencies between DNA segment pairs across the genome.
Dolores Bernenko +2 more
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