Information Technology Reference
In-Depth Information
power-law exponent of scale-free network and the number of its communities is
expounded in detail, which can be considered as the deep embody about the hub
nodes of a network.
Acknowledgments
This work is supported by the Scientific Research Starting Foundation of
Hangzhou Dianzi University (No. KYS091507073) and partly the National High
Technology Research and Development Program of China (No. 2005AA147030).
References
1. Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan
Kaufmann Publishers, New York (2006)
2. Newman, M.E.J.: The structure and function of complex networks. SIAM Re-
view 45(2), 167-256 (2003)
3. Barabasi, A.L., Albert, R.: Emergence of scaling in random networks. Sci-
ence 286(5439), 509-512 (1999)
4. Albert, R., Barabasi, A.L.: Statistical mechanics of complex networks. Rev. Mod.
Phys. 71(1), 47-97 (2002)
5. Dorogovtsev, S.N., Mendes, J.F.F.: Evolution of Network: From biological nets to
the Internet and WWW, 1st edn. Oxford University Press, London (2003)
6. Barabasi, A.L., Albert, R., Jeong, H.: Mean-field theory for scale-free random
networks. Physica A 272, 173-187 (1999)
7. Wang, X.F., Chen, G.R.: Complex networks: small-world, scale-free and beyond.
IEEE Circuits and Systems Magazine 3(1), 6-20 (2003)
8. Dai, G.Z., Wang, L., Qin, S.: Scale-free property of complex systems and its macro-
control. Science and Technology Review 24(5), 11-16 (2006) (in Chinese)
9. Palla, G., Derenyi, I., Farkas, I., Vicsek, T.: Uncovering the overlapping community
structure of complex networks in nature and society. Nature 435, 814-818 (2005)
10. Newman, M.E.J.: Detecting community structure in networks. The European
Physics Journal B 38, 321-330 (2004)
11. Girvan, M., Newman, M.E.J.: Community structure in social and biological net-
works. Proc. Natl. Acad. Sci. 99(12), 7821-8726 (2001)
12. Barthelemy, M.: Betweenness centrality in large complex networks. The European
Physical Journal B 38, 163-168 (2004)
13. Clauset, A.: Finding local community structure in networks. Phys. Rev. E 72,
026132 (2005)
14. Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in net-
works. Phys. Rev. E 69, 026113 (2004)
15. Capocci, A., Servedio, V.D.P., Caldarelli, G., Colaiori, F.: Detecting community
in large networks. Physica A 352, 669-676 (2005)
16. Qin, S., Dai, G.Z., Li, Y.L.: Mining system for community finding and centrality of
virtual user network on the internet. In: Sixth IEEE Conference on Data Mining-
Workshops (ICDMW 2006), pp. 284-289. IEEE Press, New York (2006)
17. Newman, M.E.J.: Fast algorithm for detecting community structure in networks.
Phys. Rev. E 69, 066113 (2004)
