A high resolution clique-based overlapping community detection algorithm for small-world networks
In this paper we propose a clique-based high-resolution overlapping community detection algorithm. The hub percolation method is able to find a large number of highly overlapping communities. Using different hub-selection strategies and parametrization we are able to fine tune the resolution of the...
Elmentve itt :
| Szerzők: | |
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| Dokumentumtípus: | Cikk |
| Megjelent: |
2015
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| Sorozat: | INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS
39 No. 2 |
| Tárgyszavak: | |
| mtmt: | 2925980 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/26065 |
| LEADER | 01502nab a2200229 i 4500 | ||
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| 100 | 1 | |a Bóta András | |
| 245 | 1 | 2 | |a A high resolution clique-based overlapping community detection algorithm for small-world networks |h [elektronikus dokumentum] / |c Bóta András |
| 260 | |c 2015 | ||
| 300 | |a 177-187 | ||
| 490 | 0 | |a INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS |v 39 No. 2 | |
| 520 | 3 | |a In this paper we propose a clique-based high-resolution overlapping community detection algorithm. The hub percolation method is able to find a large number of highly overlapping communities. Using different hub-selection strategies and parametrization we are able to fine tune the resolution of the algorithm. We also propose a weighted hub-selection strategy, allowing the algorithm to handle weighted networks in a natural way, without additional filtering. We will evaluate our method on various benchmarks, and we will also demonstrate the usefulness of our algorithm on a real-life economic case-study. | |
| 650 | 4 | |a Számítás- és információtudomány | |
| 700 | 0 | 1 | |a Krész Miklós |e aut |
| 856 | 4 | 0 | |u http://publicatio.bibl.u-szeged.hu/26065/1/informatica_Bota_cover.pdf |z Dokumentum-elérés |
| 856 | 4 | 0 | |u http://publicatio.bibl.u-szeged.hu/26065/2/informatica_Bota_paper.pdf |z Dokumentum-elérés |