[WITHDRAWN] A New Algorithm of Detecting Community Structure Based on Clustering
Pengli Lu, Chaohui Gou
Available Online February 2017.
- https://doi.org/10.2991/emcm-16.2017.59How to use a DOI?
- Complex network; Community structure; Clustering algorithm; Node intimacy
- The node intimacy based on information centrality which Fortunato proposed is established, the node intimacy matrix of the network is also established, and the idea of clustering the intimacy matrix of nodes is chosen in this paper. Thus, a new algorithm of detecting community structure based on clustering is formed. Because the clustering algorithm is sensitive to the initial value selection, the initial value will require some rules to avoid selection problems. Finally, the feasibility of the proposed algorithm is verified by Karate Club Zachary and College Football Network classical model.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Pengli Lu AU - Chaohui Gou PY - 2017/02 DA - 2017/02 TI - [WITHDRAWN] A New Algorithm of Detecting Community Structure Based on Clustering BT - 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/emcm-16.2017.59 DO - https://doi.org/10.2991/emcm-16.2017.59 ID - Lu2017/02 ER -