Journal of Biochemistry, 138 (1): 1-4.
ISSN/ISBN: 0021-924X DOI: 10.1093/jb/mvi094
Abstract: 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.
Bibtex:
@article {,
AUTHOR = {Arita, Masanori},
TITLE = {Scale-freeness and biological networks},
JOURNAL = {J Biochem},
FJOURNAL = {Journal of Biochemistry},
YEAR = {2005},
VOLUME = {138},
NUMBER = {1},
PAGES = {1-4},
MONTH = {July},
ISSN = {0021-924X},
DOI = {10.1093/jb/mvi094},
}
Reference Type: Journal Article
Subject Area(s): General Interest