Overlapping Community Detection by Local Decentralised Vertex-centred Process

Abstract : This paper focuses on the identification of overlapping communities, allowing nodes to simultaneously belong to several communities, in a decentralised way. To that aim it proposes LOCNeSs, an algorithm specially designed to run in a decentralised environment and to limit propagation, two essential characteristics to be applied in mobile networks. It is based on the exploitation of the preferential attachment mechanism in networks. Experimental results show that LOCNeSs is stable and achieves good overlapping vertex identification.
Complete list of metadatas

https://hal.sorbonne-universite.fr/hal-01438423
Contributor : Maël Canu <>
Submitted on : Friday, February 10, 2017 - 5:31:12 PM
Last modification on : Wednesday, November 20, 2019 - 2:12:53 AM

Files

article_damnet_0-5.pdf
Files produced by the author(s)

Identifiers

Citation

Maël Canu, Marie-Jeanne Lesot, Adrien Revault d'Allonnes. Overlapping Community Detection by Local Decentralised Vertex-centred Process. 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW'16), IEEE, Dec 2016, Barcelone, Spain. pp.77-84, ⟨10.1109/ICDMW.2016.0019⟩. ⟨hal-01438423⟩

Share

Metrics

Record views

281

Files downloads

348