Zobrazeno 1 - 10
of 1 383
pro vyhledávání: '"Community extraction"'
Publikováno v:
Journal of Data Science. Jul2023, Vol. 21 Issue 3, p470-489. 20p.
Networks are ubiquitous in today's world. Community structure is a well-known feature of many empirical networks, and a lot of statistical methods have been developed for community detection. In this paper, we consider the problem of community struct
Externí odkaz:
http://arxiv.org/abs/2111.15633
Akademický článek
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Publikováno v:
In Information Sciences August 2021 569:544-556
Autor:
Gupta, Suneet1 (AUTHOR), Kumar, Sumit2 (AUTHOR), Bangare, Sunil L.3 (AUTHOR), Nuhmani, Shibili4 (AUTHOR), Alguno, Arnold C.5 (AUTHOR), Samori, Issah Abubakari6 (AUTHOR)
Publikováno v:
Computational Intelligence & Neuroscience. 3/8/2022, p1-9. 9p.
Multilayer networks are a useful way to capture and model multiple, binary or weighted relationships among a fixed group of objects. While community detection has proven to be a useful exploratory technique for the analysis of single-layer networks,
Externí odkaz:
http://arxiv.org/abs/1610.06511
Autor:
Shalileh, Soroosh1,2 (AUTHOR), Mirkin, Boris1,3 (AUTHOR) bmirkin@hse.ru
Publikováno v:
PLoS ONE. 7/15/2021, Vol. 16 Issue 7, p1-31. 31p.
Publikováno v:
In Information Sciences January 2018 424:204-223
To understand the structure and organization of a large-scale social, biological or technological network, it can be helpful to describe and extract local communities or modules of the network. In this article, we develop a neurodynamic framework to
Externí odkaz:
http://arxiv.org/abs/1511.09368
Network is a simple but powerful representation of real-world complex systems. Network community analysis has become an invaluable tool to explore and reveal the internal organization of nodes. However, only a few methods were directly designed for c
Externí odkaz:
http://arxiv.org/abs/1508.02177