Models and Methods in Social Network Analysis, first published in 2005, presents the most
important developments in quantitative models and methods for analyzing social network …

Written by a sociologist, a graph theorist, and a statistician, this title provides social network
analysts and students with a solid statistical foundation from which to analyze network data …

In a short introduction on social network analysis, the main characteristics of social network
data as well as the main goals of social network analysis are described. An overview of …

This article provides a tutorial review of some fundamental ideas and important methods for
the modeling of empirical social network data. It describes basic concepts from graph theory …

While some social scientists may argue that we have always been networked, the increased
visibility of networks today across economic, political, and social domains can hardly be …

Network models are widely used to represent relational information among interacting units
and the structural implications of these relations. Recently, social network studies have …

The development of stochastic models for the analysis of social networks is an important
growth area in contemporary statistics. The last few decades have witnessed the rapid …

Social network analysis is used widely in the social and behavioral sciences, as well as in
economics, marketing, and industrial engineering. The social network perspective focuses …

Social network analysis, a method for analyzing relationships between social entities, has
expanded over the last decade as new research has been done in this area. How can these …

Dynamic ideas have been pursued in much of social network analysis. Network dynamics is
important for domains ranging from friendship networks (eg, Pearson and West, 2003; Burk …