Statistical Analysis of Multiple Sociometric Relations.

Abstract

Loglinear models are adapted for the analysis of multivariate social networks, a set of sociometric relations among a group of actors. Models that focus on the similarities and differences between the relations and models that concentrate on individual actors are released. This approach allows for the partitioning of the actors into blocks or subgroups. Some ideas for combining these models are described, and the various models and computational methods are applied to the analysis of data for a corporate interlock network of the 25 largest organizations in Minneapolis/St. Paul and for a classic network of eighteen monks in a cloister. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1982
Accession Number
ADA121873

Entities

People

  • Michael M. Meyer
  • Stanley S. Wasserman
  • Stephen E. Fienberg

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Corporations
  • Data Analysis
  • Data Science
  • Information Science
  • Interpersonal Relations
  • Mathematical Models
  • Probability
  • Psychology
  • Random Variables
  • Social Networks
  • Social Sciences
  • Sociology
  • Statistical Analysis
  • Statistics
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Organizational Psychology.
  • Political Violence and Terrorism Studies.
  • Regression Analysis.