Rotated multifractal network generator

被引：3

作者：

Palla, Gergely ^{[1
]}

Pollner, Peter ^{[1
]}

Vicsek, Tamas ^{[1
,2
]}

机构：

[1] Eotvos Lorand Univ, Stat & Biol Phys Res Grp, HAS, H-1117 Budapest, Hungary

[2] Eotvos Lorand Univ, Dept Biol Phys, H-1117 Budapest, Hungary

来源：

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT | 2011年

关键词：

analysis of algorithms; random graphs; networks; network reconstruction; COMMUNITY STRUCTURE; GRAPHS; MODELS;

D O I：

10.1088/1742-5468/2011/02/P02003

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

The recently introduced multifractal network generator (MFNG), has been shown to provide a simple and flexible tool for creating random graphs with very diverse features. The MFNG is based on multifractal measures embedded in 2d, leading also to isolated nodes, whose number is relatively low for realistic cases, but may become dominant in the limiting case of infinitely large network sizes. Here we discuss the relation between this effect and the information dimension for the 1d projection of the link probability measure (LPM), and argue that the node isolation can be avoided by a simple transformation of the LPM based on rotation.

引用

页数：22

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