Scale-freeness and biological networks

被引:48
作者
Arita, M
机构
[1] Univ Tokyo, Grad Sch Frontier Sci, Dept Computat Biol, Kashiwa, Chiba 2778561, Japan
[2] Keio Univ, Inst Adv Biosci, Tokyo 108, Japan
关键词
lognormal; network; power-law; scale-free;
D O I
10.1093/jb/mvi094
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The notion of scale-freeness and its prevalence in both natural and artificial networks have recently attracted much attention. The concept of scale-freeness is enthusiastically applied to almost any conceivable network, usually with affirmative conclusions. Well-known scale-free examples include the internet, electric lines among power plants, the co-starring of movie actors, the co-authorship of researchers, food webs, and neural, protein-protein interactional, genetic, and metabolic networks. The purpose of this review is to clarify the relationship between scale-freeness and power-law distribution, and to assess critically the previous related works, especially on biological networks. In addition, I will focus on the close relationship between power-law distribution and lognormal distribution to show that power-law distribution is not a special characteristic of natural selection.
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页码:1 / 4
页数:4
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