A semi-parametric statistical test to compare complex networks

Fujita, Andre; Lira, Eduardo Silva; Santos, Suzana de Siqueira; Bando, Silvia Yumi; Soares, Gabriela Eleuterio; Takahashi, Daniel Yasumasa

A semi-parametric statistical test to compare complex networks

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dc.contributor.author	Fujita, Andre
dc.contributor.author	Lira, Eduardo Silva
dc.contributor.author	Santos, Suzana de Siqueira
dc.contributor.author	Bando, Silvia Yumi
dc.contributor.author	Soares, Gabriela Eleuterio
dc.contributor.author	Takahashi, Daniel Yasumasa
dc.date.accessioned	2019-09-04T14:16:47Z
dc.date.available	2019-09-04T14:16:47Z
dc.date.issued	2019-08-02
dc.description.resumo	The modelling of real-world data as complex networks is ubiquitous in several scientific fields, for example, in molecular biology, we study gene regulatory networks and protein–protein interaction (PPI)_networks; in neuroscience, we study functional brain networks; and in social science, we analyse social networks. In contrast to theoretical graphs, real-world networks are better modelled as realizations of a random process. Therefore, analyses using methods based on deterministic graphs may be inappropriate. For example, verifying the isomorphism between two graphs is of limited use to decide whether two (or more) real-world networks are generated from the same random process. To overcome this problem, in this article, we introduce a semi-parametric approach similar to the analysis of variance to test the equality of generative models of two or more complex networks. We measure the performance of the proposed statistic using Monte Carlo simulations and illustrate its usefulness by comparing PPI networks of six enteric pathogens.	pt_BR
dc.identifier.citation	FUJITA, A.; LIRA, E. S.; SANTOS, S. S.; BANDO, S. Y.; SOARES, G. E.; TAKAHASHI, D. Y. A semi-parametric statistical test to compare complex networks. Journal of Complex Networks, [s. l.], p. 1-17, ago. 2019. DOI: https://doi.org/10.1093/comnet/cnz028. Disponível em: https://academic.oup.com/comnet/advance-article-abstract/doi/10.1093/comnet/cnz028/5543003?redirectedFrom=fulltext. Acesso em: 04 set. 2019.	pt_BR
dc.identifier.doi	https://doi.org/10.1093/comnet/cnz028
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/27629
dc.language	en	pt_BR
dc.subject	Random graph	pt_BR
dc.subject	parameter estimation	pt_BR
dc.subject	model selection	pt_BR
dc.subject	ANOVA	pt_BR
dc.subject	graph spectrum	pt_BR
dc.subject	isomorphism	pt_BR
dc.title	A semi-parametric statistical test to compare complex networks	pt_BR
dc.type	article	pt_BR