Community detection by using the extended modularity

This article is about community detection algorithms in graphs. First a new method will be introduced, which is based on an extension [16] of the commonly used modularity [17, 18, 19, 20] and gives overlapping communities. We list and compare the results given by our new method and some other algori...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Griechisch Erika
Pluhár András
Testületi szerző: Conference for PhD Students in Computer Science (7.) (2010) (Szeged)
Dokumentumtípus: Cikk
Megjelent: 2011
Sorozat:Acta cybernetica 20 No. 1
Kulcsszavak:Számítástechnika, Kibernetika
Tárgyszavak:
doi:10.14232/actacyb.20.1.2011.6

Online Access:http://acta.bibl.u-szeged.hu/12899
Leíró adatok
Tartalmi kivonat:This article is about community detection algorithms in graphs. First a new method will be introduced, which is based on an extension [16] of the commonly used modularity [17, 18, 19, 20] and gives overlapping communities. We list and compare the results given by our new method and some other algorithms yielding either overlapping or non-overlapping communities. While the main use of the proposed algorithm is benchmarking, we also consider the possibility of hot starts, and some further extensions that considers the degree distribution of the graphs.
Terjedelem/Fizikai jellemzők:69-85
ISSN:0324-721X