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Assortativity and clustering of sparse random intersection graphs

   
@article{EJP2277,
	author = {Mindaugas Bloznelis and Jerzy Jaworski and Valentas Kurauskas},
	title = {Assortativity and clustering of sparse random intersection graphs},
	journal = {Electron. J. Probab.},
	fjournal = {Electronic Journal of Probability},
	volume = {18},
	year = {2013},
	keywords = {assortativity; clustering; power law; random graph; random intersection graph},
	abstract = {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.},
	pages = {no. 38, 1-24},
	issn = {1083-6489},
	doi = {10.1214/EJP.v18-2277},    
        url = {http://ejp.ejpecp.org/article/view/2277}}