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Feedback between node and network dynamics can produce real-world network properties

Author

Listed:
  • Brot, Hilla
  • Muchnik, Lev
  • Goldenberg, Jacob
  • Louzoun, Yoram

Abstract

Real-world networks are characterized by common features, including among others a scale-free degree distribution, a high clustering coefficient and a short typical distance between nodes. These properties are usually explained by the dynamics of edge and node addition and deletion.

Suggested Citation

  • Brot, Hilla & Muchnik, Lev & Goldenberg, Jacob & Louzoun, Yoram, 2012. "Feedback between node and network dynamics can produce real-world network properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6645-6654.
  • Handle: RePEc:eee:phsmap:v:391:y:2012:i:24:p:6645-6654
    DOI: 10.1016/j.physa.2012.07.051
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    References listed on IDEAS

    as
    1. M. E. J. Newman & D. J. Watts, 1999. "Renormalization Group Analysis of the Small-World Network Model," Working Papers 99-04-029, Santa Fe Institute.
    2. Robert Axelrod & Will Mitchell & Robert E. Thomas & D. Scott Bennett & Erhard Bruderer, 1995. "Coalition Formation in Standard-Setting Alliances," Management Science, INFORMS, vol. 41(9), pages 1493-1508, September.
    3. Farkas, I. & Jeong, H. & Vicsek, T. & Barabási, A.-L. & Oltvai, Z.N., 2003. "The topology of the transcription regulatory network in the yeast, Saccharomyces cerevisiae," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 318(3), pages 601-612.
    4. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    5. Itzhack, Royi & Muchnik, Lev & Erez, Tom & Tsaban, Lea & Goldenberg, Jacob & Solomon, Sorin & Louzoun, Yoram, 2010. "Empirical extraction of mechanisms underlying real world network generation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5308-5318.
    6. D. S. Callaway & J. E. Hopcroft & J. M. Kleinberg & M. E. J. Newman & S. H. Strogatz, 2001. "Are Randomly Grown Graphs Really Random?," Working Papers 01-05-025, Santa Fe Institute.
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