Work

Composition and structure of social networks

Year: 1997

Type: article

Abstract: Social networks representing one or more relationships between individuals and one or more categorical characteristics of the individuals exhibit both structure and composition. Probabilistic models of such networks can be used for analyzing the interrelations between structural and compositional variables, for instance in order to find how structure can be explained by composition or how structure explains composition. Different models are discussed and different statistical methods are employed to illustrate such interrelationships in network data.

Source: Mathématiques et sciences humaines

DOI: 10.4000/msh.2743

Author: Ove Frank

Institutions: Stockholm University, Centre d'Analyse et de Mathématique Sociales, École des hautes études en sciences sociales

Language: French

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W1965240291

FWCI: 0.323

Cites: 33

Cited by: 8

Related to: 10