A survey of clustering algorithms in community detection of complex networks
Le Bo, Yang Shi, Hao Fang, Mei Wen
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.158How to use a DOI?
- Complex Networks; Clustering; Community Detection
- Complex network analysis begins in the 1930s, and the community structure in complex networks is a major characteristic that has been widely concerned. This paper introduces the basic and core ideas of several typical clustering algorithms in community detecting, and analyzes the advantages and disadvantages of each one. And it also reviews the background, the significance and the performance of these algorithms. Some algorithms may perform well in some specific areas but not in community detecting, while the newest algorithms still need to be tested in the future
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Le Bo AU - Yang Shi AU - Hao Fang AU - Mei Wen PY - 2016/12 DA - 2016/12 TI - A survey of clustering algorithms in community detection of complex networks PB - Atlantis Press SP - 783 EP - 788 SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.158 DO - https://doi.org/10.2991/icwcsn-16.2017.158 ID - Bo2016/12 ER -