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Arita, M (2005)

Scale-freeness and biological networks

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.

@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