气候变化领域集成服务门户(CCPortal): True scale-free networks hidden by finite size effects

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DOI	10.1073/pnas.2013825118
	True scale-free networks hidden by finite size effects
	Serafino M.; Cimini G.; Maritan A.; Rinaldo A.; Suweis S.; Banavar J.R.; Caldarelli G.
发表日期	2021
ISSN	00278424
卷号	118 期号:2
英文摘要	We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free structure is generally viable. This has recently been questioned on the basis of statistical testing of the validity of power law distributions of network degrees. Specifically, we analyze by finite size scaling analysis the datasets of real networks to check whether the purported departures from power law behavior are due to the finiteness of sample size. We find that a large number of the networks follows a finite size scaling hypothesis without any self-tuning. This is the case of biological protein interaction networks, technological computer and hyperlink networks, and informational networks in general. Marked deviations appear in other cases, especially involving infrastructure and transportation but also in social networks. We conclude that underlying scale invariance properties of many naturally occurring networks are extant features often clouded by finite size effects due to the nature of the sample data. © This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
英文关键词	Degree distribution; Finite size scaling; Network form; Power laws; Statistical physics
语种	英语
scopus关键词	article; human; physics; protein interaction; sample size; social network; validity
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/181056
作者单位	Networks Unit, IMT School for Advanced Studies, Lucca, 55100, Italy; Department of Physics, University of Rome Tor Vergata, Rome, 00133, Italy; INFN, University of Rome Tor Vergata, Rome, 00133, Italy; Institute for Complex Systems, Consiglio Nazionale delle Ricerche, UoS Sapienza, Rome, 00185, Italy; Department of Physics and Astronomy, University of Padova, Padova, 35131, Italy; INFN, University of Padova, Padova, 35131, Italy; Laboratory of Ecohydrology, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland; Department of Civil, Construction and Environmental Engineering, University of Padova, Padova, 35131, Italy; Padova Neuroscience Center, University of Padova, Padova, 35131, Italy; Department of Physics, University of Oregon, Eugene, OR 97403, United States; Institute for Fundamental Studies, University of Oregon, Eugene, OR 97403, United States; Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice, Venice, 30172, Italy; European Centre for Living ...
推荐引用方式 GB/T 7714	Serafino M.,Cimini G.,Maritan A.,et al. True scale-free networks hidden by finite size effects[J],2021,118(2).
APA	Serafino M..,Cimini G..,Maritan A..,Rinaldo A..,Suweis S..,...&Caldarelli G..(2021).True scale-free networks hidden by finite size effects.Proceedings of the National Academy of Sciences of the United States of America,118(2).
MLA	Serafino M.,et al."True scale-free networks hidden by finite size effects".Proceedings of the National Academy of Sciences of the United States of America 118.2(2021).