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A Novel Evolution Model of Collaboration Network Based on Scale-Free Network

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 310))

Abstract

Collaboration relationship is one of the important factors to promote knowledge production and communication. Because the modeling method is insufficient, the existing collaboration network models could simulate only a part of indexes, but not all characteristics of the network of this type. In this paper, a new evolution model of collaboration network based on the scale-free network is built, in which nodes are abstracted from authors with some attributes. According to existing research results, we enrich the interactive rules of this model. Then in the simulation we compare our model with the empirical data from CiteseerX database and the Motif emerging model. It shows that the statistical characteristics and evolution characteristics of our model conforms to the actual situation better, which proves the feasibility of the new model.

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References

  1. Goldstein, M.L., Morris, S.A., Yen, G.G.: Group-based Yule model for bipartite author-paper networks. Phys. Rev. E 71(2), 618–623 (2005)

    Article  Google Scholar 

  2. Yang, H.Y., Wang, F.S.: Motif Emerging Model of Scientific Collaboration Network. Journal of the China Society for Scientific and Technical Information 28(4), 606–609 (2009)

    Google Scholar 

  3. Ramasco, J.J., Dorogovtsev, S.N., Pastor-Satorras, R.: Self-organization of collaboration networks. Phys. Rev. E 70(3), 106–115 (2004)

    Article  Google Scholar 

  4. Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science 286, 509–512 (1999)

    Article  MathSciNet  Google Scholar 

  5. Zhang, P., Li, M.H., Wu, J.S., Di, Z.R., Fan, Y.: The Community Structure of Scientific Collaboration Network. Complex Systems and Complexity Science 2(2), 30–34 (2005)

    Google Scholar 

  6. Xu, L., Hu, H.B., et al.: Empirical Analysis of a China Scientists Collaboration Network. Complex Systems and Complexity Science 6(1), 20–27 (2009)

    MathSciNet  Google Scholar 

  7. Wang, F.S., Yang, H.Y.: Analysis on Scientific Collaboretion Network of Authors. Journal of the China Society for Scientific and Technical Information 26(5), 659–663 (2007)

    Google Scholar 

  8. Xu, F., Zhao, H., Ha, T.J., Zhang, Y.Q.: Research on the Changing Principle of the Internet Standard Structure Entropy. Journal of Northeastern University (Natural Science) 7(12), 1324–1326 (2006)

    Google Scholar 

  9. Tan, Y.J., Wu, J.: Network structure entropy and its application to scale-free networks. Systems Engineering Theory and Practice (6), 1–3 (2004)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Liu, Ht., Pei, D., Wu, Y. (2012). A Novel Evolution Model of Collaboration Network Based on Scale-Free Network. In: Lee, G., Howard, D., Ślęzak, D., Hong, Y.S. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Communications in Computer and Information Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32692-9_20

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  • DOI: https://doi.org/10.1007/978-3-642-32692-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32691-2

  • Online ISBN: 978-3-642-32692-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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