Quantitative description and modeling of real networks

Andrea Capocci, Guido Caldarelli, and Paolo De Los Rios
Phys. Rev. E 68, 047101 – Published 2 October 2003
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Abstract

We present data analysis and modeling of two particular cases of study in the field of growing networks. We analyze World Wide Web data set and authorship collaboration networks in order to check the presence of correlation in the data. The results are reproduced with good agreement through a suitable modification of the standard Albert-Barabási model of network growth. In particular, intrinsic relevance of sites plays a role in determining the future degree of the vertex.

  • Received 29 May 2002

DOI:https://doi.org/10.1103/PhysRevE.68.047101

©2003 American Physical Society

Authors & Affiliations

Andrea Capocci1, Guido Caldarelli2, and Paolo De Los Rios3

  • 1Département de Physique, Université de Fribourg, CH-1700 Fribourg, Switzerland
  • 2INFM UdR di ROMA1, Dipartimento di Fisica, Università di Roma “La Sapienza,” Piazzale A. Moro 2, 00185 Roma, Italy
  • 3Institut de Physique Théorique, Université de Lausanne, 1015 Lausanne, Switzerland

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Vol. 68, Iss. 4 — October 2003

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