A Node Influence Based Label Propagation Algorithm for Community Detection in Networks. (4th June 2014)

• Record Type: Journal Article
• Authors: Xing, Yan; Meng, Fanrong; Zhou, Yong; Zhu, Mu; Shi, Mengyu; Sun, Guibin
• Other Names: Yang Bo Academic Editor.
• Is Part Of: TheScientificWorldjournal. Volume 2014(2014)
• Publication Date: 2014-06-04
• Subjects: Science -- Periodicals; Technology -- Periodicals; Medicine -- Periodicals; 505
• DOI: 10.1155/2014/627581
• Languages: English
• ISSNs: 2356-6140

Abstract

Abstract : Label propagation algorithm (LPA) is an extremely fast community detection method and is widely used in large scale networks. In spite of the advantages of LPA, the issue of its poor stability has not yet been well addressed. We propose a novel node influence based label propagation algorithm for community detection (NIBLPA), which improves the performance of LPA by improving the node orders of label updating and the mechanism of label choosing when more than one label is contained by the maximum number of nodes. NIBLPA can get more stable results than LPA since it avoids the complete randomness of LPA. The experimental results on both synthetic and real networks demonstrate that NIBLPA maintains the efficiency of the traditional LPA algorithm, and, at the same time, it has a superior performance to some representative methods.