Elsevier

Social Networks

Volume 17, Issues 3–4, July–October 1995, Pages 273-297
Social Networks

Integrating social network research and epidemiology
Choosing a centrality measure: Epidemiologic correlates in the Colorado Springs study of social networks

https://doi.org/10.1016/0378-8733(95)00267-RGet rights and content

Abstract

In a continuing analysis of a large network of persons who practice risky behaviors in an area of low prevalence for HIV transmission, we compared eight measures of centrality. Although these measures differ in their theoretical formulation and their distributional forms, they demonstrated substantial concordance in ranking as noncentral all but one of the HIV-positive persons in a large connected component of 341 persons, providing further support for the role of network structure in disease transmission.

References (35)

  • P. Bonacich

    Factoring and weighting approaches to status scores and clique identification

    Journal of Sociology Mathematical

    (1972)
  • F.M. Burnet

    Biological Aspects of Infectious Disease

    (1940)
  • L.C. Freeman

    Order-based statistics and monotonicity: A family of ordinal measures of association

    Journal of Mathematical Sociology

    (1987)
  • L.A. Goodman et al.

    Measures of association for cross-classifications

    Journal of the American Statistical Association

    (1954)
  • M.S. Granovetter

    The strength of weak ties

    American Journal of Sociology

    (1973)
  • R.C. Grimson et al.

    Association between acquired immune deficiency syndrome and sexual contact: An analysis of the incidence pattern

  • R.H. Henderson

    Control of sexually transmitted disease in the United States — A Federal perspective

    British Journal of Venereal Disease

    (1977)
  • Cited by (0)

    Presented in part at the Sunbelt Social Networks Conference, New Orleans, LA, February 1994.

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