Assortativity and clustering of sparse random intersection graphs

Autor: Bloznelis, Mindaugas, Jaworski, Jerzy, Kurauskas, Valentas
Rok vydání: 2012
Předmět:
Zdroj: Electron. J. Probab. Volume 18 (2013), paper no. 38, 24 pp
Druh dokumentu: Working Paper
DOI: 10.1214/ejp.v18-2277
Popis: We consider sparse random intersection graphs with the property that the clustering coefficient does not vanish as the number of nodes tends to infinity. We find explicit asymptotic expressions for the correlation coefficient of degrees of adjacent nodes (called the assortativity coefficient), the expected number of common neighbours of adjacent nodes, and the expected degree of a neighbour of a node of a given degree k. These expressions are written in terms of the asymptotic degree distribution and, alternatively, in terms of the parameters defining the underlying random graph model.
Databáze: arXiv