Griechisch Erika and Pluhár András: Community detection by using the extended modularity. In: Acta cybernetica, (20) 1. pp. 69-85. (2011)
Preview |
Cikk, tanulmány, mű
actacyb_20_1_2011_6.pdf Download (1MB) | Preview |
Abstract
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.
Item Type: | Article |
---|---|
Journal or Publication Title: | Acta cybernetica |
Date: | 2011 |
Volume: | 20 |
Number: | 1 |
ISSN: | 0324-721X |
Page Range: | pp. 69-85 |
Language: | English |
Place of Publication: | Szeged |
Event Title: | Conference for PhD Students in Computer Science (7.) (2010) (Szeged) |
Related URLs: | http://acta.bibl.u-szeged.hu/38531/ |
DOI: | 10.14232/actacyb.20.1.2011.6 |
Uncontrolled Keywords: | Számítástechnika, Kibernetika |
Additional Information: | Bibliogr.: p. 83-85. ; összefoglalás angol nyelven |
Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences |
Date Deposited: | 2016. Oct. 15. 12:24 |
Last Modified: | 2022. Jun. 17. 13:39 |
URI: | http://acta.bibl.u-szeged.hu/id/eprint/12899 |
Actions (login required)
![]() |
View Item |