id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
02870v85294	Tanya Salyers	Network Based Modeling in Social Sciences and Biology	2012		.txt	text/plain	518	16	30	Here we present a dynamic agent-based model of social network evolution that offers an explanation of the observed positive degree assortativity in social networks in terms of a simple mechanism of preference for reciprocity in communication flows: agents drop relationships in which they invest more than their partners and attempt to search and keep relationships in which they invest as much or less. In particular, social networks have the empirically observed property of assortativity by degree: a given individual is more likely to be connected to another individual with a similar number of contacts than expected by a uniformly random distribution of the connections.	cache/02870v85294.txt	txt/02870v85294.txt