Choice Outstanding Academic Title, 2011
Social network analysis has been one of the fastest growing and most influential areas of recent times. Why has this happened? What are the key features of social network analysis?
This sparkling Handbook offers an unrivalled resource. Systematically, it introduces readers to the key concepts, substantive topics, central methods, and prime debates. Among the specific areas covered are: Network theory; Interdisciplinary applications; Online networks; Corporate networks; Lobbying networks; Deviant networks; Measuring devices; Key Methodologies; Software applications
The result is a peerless resource for teachers and students. It offers a critical survey of the origins, basic issues and major debates. Instead of consulting a variety of books and journal articles, the Handbook offers a one-stop guide that will be used by readers for decades to come.
Chapter 31: Statistical Models for Ties and Actors
Statistical Models for Ties and Actors
Can we predict friendship between researchers if we know how many email interactions they have? Do researchers on a conference prefer to get acquainted with colleagues from the same research area or do they interact instead with colleagues who have a high citation index? Could it be that email contact, homophily, and scientific status are all important to explain friendship or acquaintanceship, and if so, which of these effects is strongest? Can we distinguish different groups of researchers based on how well they know each other, and if so, is this grouping related to a research field or scientific status?
To answer these types of questions we need statistical models that ...