Open Access
Issue
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
Article Number 05021
Number of page(s) 6
Section Session 5: Information Processing Methods and Techniques
DOI https://doi.org/10.1051/itmconf/20171205021
Published online 05 September 2017
  1. Watts D J, Steven H S. Collective dynamics of ‘small-world’ networks. Nature, 1998,393(6684):440–442. [CrossRef] [PubMed] [Google Scholar]
  2. Strogatz Steven H. Exploring complex networks[J]. Nature, 2001, 410(6825):268–276. [CrossRef] [PubMed] [Google Scholar]
  3. Barabási A L, Réka A. Emergence of scaling in random networks. Science, 1999, 286(5439):509–512. [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
  4. Réka A, Barabási A L. Statistical mechanics of complex networks. Reviews of modern physics, 2002, 74(1):47. [CrossRef] [MathSciNet] [Google Scholar]
  5. Boccaletti S, Latora V, Moreno Y, et al. Complex networks: Structure and dynamics. Physics reports, 2006, 424(4):175–308. [CrossRef] [MathSciNet] [Google Scholar]
  6. Barrat A, Barthélemy M, Pastor S R, at el. The architecture of complex weighted networks: Proceedings of the National Academy of Sciences of the United States of America, 2004. Boston:pnas, 2014, 101(11):3747–3752. [CrossRef] [PubMed] [Google Scholar]
  7. Antal T, Krapivsky P L. Weight-driven growing networks. Physical Review E, 2005, 71(2): 026103. [CrossRef] [MathSciNet] [Google Scholar]
  8. Dorogovtsev S N, Mendes J F. Minimal models of weighted scale-free networks. 2004, arXiv:cond-mat/0408343. http://arxiv.org/abs/cond-mat/0311416. [Google Scholar]
  9. Liang S, Li M, Leung K, et al. An Experimental Study of Response Times of Web Applications. Journal of Computer Research and Development, 2003, 40(7): 1076–1080. [Google Scholar]
  10. Garcia-Robledo A, Diaz-Perez A, Morales-Luna G. Correlation analysis of complex network metrics on the topology of the Internet. Emerging Technologies for a Smarter World (CEWIT), 2013 10th International Conference and Expo on. IEEE, 2013: 1–6. [Google Scholar]
  11. Chai W K, He D, Psaras I, et al. Cache “less for more” in information-centric networks (extended version). Computer Communications, 2013, 36(7): 758–770. [CrossRef] [Google Scholar]
  12. Bo J, Ying Z, Jing D, et al. Study on the stability of the topology interactive growth mechanism using graph spectra. Communications, IET, 2014, 8(16): 2845–2857. [CrossRef] [Google Scholar]
  13. Holbert B, Tati S, Silvestri S, et al. Network Topology Inference With Partial Information. Network and Service Management, IEEE Transactions on, 2015, 12(3): 406–419. [CrossRef] [Google Scholar]
  14. Liu X, Zhao H, Wang J, et al. Dissipation Analysis of Internet Topology Structure. Journal of Northeastern University(Natural Science),2015, 36(9): 1237–1241. [Google Scholar]
  15. Lu X, Wang H, Wang J. Virtual Computing Environment iVCE:Concept and system structure. Science in China(Series E:Information Sciences), 2006, 10:1081–1099. [Google Scholar]
  16. Liang H. A Similarity Detection System of Network News. JILIN: JILIN University, 2011. [Google Scholar]
  17. Calvert K L, Doar M B, Zegura E W. Modeling internet topology. Communications Magazine, IEEE, 1997, 35(6): 160–163. [CrossRef] [Google Scholar]
  18. Liang S, Li M, Leung K, et al. An Experimental Study of Response Times of Web Applications. Journal of Computer Research and Development, 2003, 40(7): 1076–1080. [Google Scholar]

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