Krapivsky PL, Redner S "A statistical physics perspective on Web growth" COMPUTER NETWORKS-THE INTERNATIONAL JOURNAL OF COMPUTER AND TELECOMMUNICATIONS NETWORKING 39 (3): 261-276 JUN 21 2002

Eugene Garfield garfield at CODEX.CIS.UPENN.EDU
Fri Oct 4 14:49:10 EDT 2002


P.L. Krapivsky : paulk at buphyk.bu.edu
S. Redner  :  redner at buphy.bu.edu


Title    A statistical physics perspective on Web growth
Authors  Krapivsky PL, Redner S
Journal  COMPUTER NETWORKS-THE INTERNATIONAL JOURNAL OF COMPUTER AND
         TELECOMMUNICATIONS NETWORKING 39 (3): 261-276 JUN 21 2002

Document type: Article     Language: English
Cited References: 47       Times Cited: 0


Abstract:
Approaches from statistical physics are applied to investigate the structure
of network models whose growth rules mimic aspects of the evolution of the
World Wide Web. We first determine the degree distribution of a growing
network in which nodes are introduced one at a time and attach to an earlier
node of degree k with rate A(k) similar to k(gamma). Very different
behaviors arise for gamma < 1, gamma = 1., and gamma > 1. We also analyze
the degree distribution of a heterogeneous network, the joint age-degree
distribution, the correlation between degrees of neighboring nodes, as well
as global network properties. An extension to directed networks is then
presented. By tuning model parameters to reasonable values, we obtain
distinct power-law forms for the in-degree and out-degree distributions with
exponents that are in good agreement with current data for the web. Finally,
a general growth process with independent introduction of nodes and links is
investigated. This leads to independently growing sub-networks that may
coalesce with other sub-networks. General results for both the size
distribution of sub-networks and the degree distribution are obtained. (C)
2002 Elsevier Science Ltd. All rights reserved.

Author Keywords:
rate equations, degree distribution, growing networks, percolation

KeyWords Plus:
WORLD-WIDE-WEB, GROWING RANDOM NETWORKS, DEGREE DISTRIBUTIONS, DEGREE
SEQUENCE, RANDOM GRAPHS, INTERNET,
TOPOLOGY

Addresses:
Redner S, Boston Univ, Dept Phys, Ctr Biodynam, Ctr Polymer Studies, Boston,
MA 02215 USA
Boston Univ, Dept Phys, Ctr Biodynam, Ctr Polymer Studies, Boston, MA 02215
USA

Publisher:
ELSEVIER SCIENCE BV, AMSTERDAM

IDS Number:
563TW

ISSN:
1389-1286


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 ALBERT R              NATURE                       401       130      1999
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 KIM J                 CONDMAT0203167
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 KRAPIVSKY PL          PHYS REV LETT                 85     4629*      2000
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 KUMAR SR              P 8 WWW C                                       1999
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 STAUFFER D            INTRO PERCOLATION TH                            1992
 STROGATZ SH           NATURE                       410       268      2001
 TANGMUNARUNKIT H      COMPUT COMMUN REV             31         7      2001



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