Bianconi, Ginestra and Marsili, Matteo, 1966- (2006) Effects of degree correlations on the loop structure of scale free networks. Working Paper. Warwick Business School, Financial Econometrics Research Centre, Coventry.

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Abstract

In this paper we study the impact of degree correlations in the subgraph statistics of scalefree networks. In particular we consider loops, simple cases of network subgraphs which encode the redundancy of the paths passing through every two nodes of the network. We provide an understanding of the scaling of the clustering coefficient in modular networks in terms of the maximal eigenvector of the average adjacency matrix of the ensemble. Furthermore we show that correlations affect in a relevant way the average number of Hamiltonian paths in a three-core of real world networks. We prove our results in the two-vertex correlated hidden variable ensemble and we check the results with exact counting of small loops in real graphs.

Item Type:	Working or Discussion Paper (Working Paper)
Subjects:	H Social Sciences > HB Economic Theory Q Science > QA Mathematics
Divisions:	Faculty of Social Sciences > Warwick Business School > Financial Econometrics Research Centre Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH):	Mathematical statistics, Information networks, Scaling laws (Statistical physics), Eigenvectors
Series Name:	Working papers (Warwick Business School. Financial Econometrics Research Centre)
Publisher:	Warwick Business School, Financial Econometrics Research Centre
Place of Publication:	Coventry
Date:	14 July 2006
Number:	No.06-
Number of Pages:	13
Status:	Not Peer Reviewed
Access rights to Published version:	Open Access
Funder:	Sixth Framework Programme (European Commission) (FP6)
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URI:	http://wrap.warwick.ac.uk/id/eprint/1752

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