Longitudinal analysis of friendship networks

George Runger, Stanley Wasserman

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

This note discusses and demonstrates methods, both exploratory and confirmatory, for analysing data from friendship networks collected over time. The focus is on stochastic models for dyadic interaction designed to quantify the structural effect of reciprocity on arc changes. The networks studied were previously analysed by Hallinan (Social Networks 1: 193-210) who was concerned with stability of dyadic choices and the direction of change of asymmetric dyads to either mutual or null dyads. These aspects of the networks are really of secondary importance to the effect of reciprocated choices on the probabilities of dyadic change. Measures of this 'reciprocity effect' are presented, and comments on the rationale for continuous-time Markov chains as models for networks are given.

Original languageEnglish (US)
Pages (from-to)143-154
Number of pages12
JournalSocial Networks
Volume2
Issue number2
DOIs
StatePublished - Jan 1 1979
Externally publishedYes

ASJC Scopus subject areas

  • Anthropology
  • Sociology and Political Science
  • Social Sciences(all)
  • Psychology(all)

Fingerprint Dive into the research topics of 'Longitudinal analysis of friendship networks'. Together they form a unique fingerprint.

  • Cite this