Zobrazeno 1 - 4
of 4
pro vyhledávání: '"sondos bahadori"'
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f0f0eb03d968864f302a756e285c61e
https://doi.org/10.2139/ssrn.4356707
https://doi.org/10.2139/ssrn.4356707
Publikováno v:
Applied Intelligence. 51:3561-3580
Detection of community structures in complex networks provides an effective tool for studying the relationships between nodes and revealing the hidden structures. In many real applications, the communities overlap, which means that the nodes can belo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d08616f3e30786570e86ed004e0f2597
https://doi.org/10.1007/s10489-020-01999-4
https://doi.org/10.1007/s10489-020-01999-4
Publikováno v:
Expert Systems with Applications. 174:114650
Community detection is an important task to reveal hidden structures of real-world complex networks which are vary over time. Most of the existing works on the dynamic community detection assumes the sparse connectivity between communities and suppos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::477b6e0924cd19a59f7b19c8f6e8c3ab
https://doi.org/10.1016/j.eswa.2021.114650
https://doi.org/10.1016/j.eswa.2021.114650
Autor:
Sondos Bahadori, Parham Moradi
Publikováno v:
2017 Artificial Intelligence and Robotics (IRANOPEN).
Community detection is a substantial technique to find out the relationship between nodes in complex networks. By understanding the behavior of elements in a community, one can predict the overall feature of the large scale social network. Detecting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8ceb901010b66691497ecf4f41874bb
https://doi.org/10.1109/rios.2017.7956463
https://doi.org/10.1109/rios.2017.7956463