Open Access
Issue
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
Article Number 01056
Number of page(s) 5
Section Information and Communication Technology
DOI https://doi.org/10.1051/matecconf/20152201056
Published online 09 July 2015
  1. Y Bo, L Da-You. & L Jiming, et al. 2009. Complex Network Clustering Algorithms. Journal of Software. 20(1): 54–66. [CrossRef] [Google Scholar]
  2. Girvan M. & Newman M E J. 2002. Community structure in social and biological networks. Proc. Natl. Acad. Sci. USA. 99(12): 7821–7826. [Google Scholar]
  3. Chauhan S, Girvan M. & Ott E. 2009. Spectral properties of networks with community structure. Phys. Rev. E., 80(5): 2797–2804. [CrossRef] [Google Scholar]
  4. Evans T S. & Lambiotte R. 2009. Line graphs, link partitions, and overlapping communities. Phys. Rev. E., 80(1): 106105. [Google Scholar]
  5. Ball B, Karrer B. & Newman M E J. 2011. An efficient and principled method for detecting communities in networks. Physical Review E., 84(3): 1–14. [Google Scholar]
  6. G Wen-Yan, H E Nan. & L I De-Yi, et al. 2009. Community Discovery Method in Networks Based on Topological Potential: 20, 2241–2254. [Google Scholar]
  7. S Lixin. & Z Junxing. 2014. Label propagation algorithm based on potential function for community detection. Journal of Computer Applications. 34(3): 738–741. [Google Scholar]
  8. Cheng X Q. & Shen H W. 2010. Uncovering the community structure associated with the diffusion dynamics on networks. J. Stat. Mech., P04024. [Google Scholar]
  9. Zhou H J. 2003. Network landscape from a Brownian particle`s perspective. Phys. Rev. E., 67(4): 041908. [CrossRef] [Google Scholar]
  10. Q Liu. 2014. Overlapping community detection algorithm based on expansion of gravitational degree. 35(3): 852–856. [Google Scholar]
  11. Liu Jian-Guo, Ren Zhou-Ming, Guo Qiang. & Wang Bing-Hong. 2013. Node importance ranking of complex networks. Acta Physica Sinica, 62(17): 178901. [Google Scholar]
  12. Z Zhao, H Yu. & Z Zhu, et al. 2014. Identifying Influential Spreaders Based on Network Community Structure. 37(4): 753–766. [Google Scholar]
  13. Clauset A, Newman M E J. & Moore C. 2004. Finding community structure in very large networks. Phys. Rev. E,. 70(6): 066111. [CrossRef] [Google Scholar]

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