Average distance, diameter, and clustering in social networks with homophily

26Citations
Citations of this article
74Readers
Mendeley users who have this article in their library.
Get full text

Abstract

I examine a random network model where nodes are categorized by type and linking probabilities can differ across types. I show that as homophily increases (so that the probability to link to other nodes of the same type increases and the probability of linking to nodes of some other types decreases) the average distance and diameter of the network are unchanged, while the average clustering in the network increases. © 2008 Springer Berlin Heidelberg.

Cite

CITATION STYLE

APA

Jackson, M. O. (2008). Average distance, diameter, and clustering in social networks with homophily. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5385 LNCS, pp. 4–11). https://doi.org/10.1007/978-3-540-92185-1_3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free