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General Connectivity Distribution Functions for Growing Networks with Preferential Attachment of Fractional Power

Statistical Mechanics 2009-11-13 v5 Disordered Systems and Neural Networks

Abstract

We study the general connectivity distribution functions for growing networks with preferential attachment of fractional power, Πikα\Pi_{i} \propto k^{\alpha}, using the Simon's method. We first show that the heart of the previously known methods of the rate equations for the connectivity distribution functions is nothing but the Simon's method for word problem. Secondly, we show that the case of fractional α\alpha the ZZ-transformation of the rate equation provides a fractional differential equation of new type, which coincides with that for PA with linear power, when α=1\alpha = 1. We show that to solve such a fractional differential equation we need define a transidental function Υ(a,s,c;z)\Upsilon (a,s,c;z) that we call {\it upsilon function}. Most of all previously known results are obtained consistently in the frame work of a unified theory.

Keywords

Cite

@article{arxiv.cond-mat/0702497,
  title  = {General Connectivity Distribution Functions for Growing Networks with Preferential Attachment of Fractional Power},
  author = {Kazumoto Iguchi and Hiroaki Yamada},
  journal= {arXiv preprint arXiv:cond-mat/0702497},
  year   = {2009}
}

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10 pages