@inproceedings{b36f8321e6ba4004b8c9737a14539408,
title = "Detecting overlapping communities of weighted networks by central figure algorithm",
abstract = "In recent years, the community structures in complex networks has become a research hotspot. In this paper, we focus on weighted networks and propose a unique algorithm on detecting overlapping communities of weighted networks based on central figure with considerable accuracy. In the algorithm, all the central figures are first extracted. Then to each central figure, nodes are absorbed by closures and weak ties. The experiments are based on LFR Benchmark. Through the experiment, we can know that the performance of our algorithm is better than that of COPRA (Community Overlap Propagation Algorithm) algorithm.",
keywords = "central figure, overlapping community, triadic closure, weighted networks",
author = "Chao Tong and Zhongyu Xie and Xiaoyun Mo and Jianwei Niu and Yan Zhang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Computers, Communications and IT Applications Conference, ComComAp 2014 ; Conference date: 20-10-2014 Through 22-10-2014",
year = "2014",
month = jan,
day = "20",
doi = "10.1109/ComComAp.2014.7017161",
language = "英语",
series = "Proceedings - 2014 IEEE Computers, Communications and IT Applications Conference, ComComAp 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7--12",
editor = "Zhangbing Zhou and Jianwei Niu and Lei Shu",
booktitle = "Proceedings - 2014 IEEE Computers, Communications and IT Applications Conference, ComComAp 2014",
address = "美国",
}