Predictors of the international HIV-AIDS INGO network over time

Michelle Shumate, Janet Fulk, Peter Monge

Research output: Contribution to journalReview articlepeer-review

60 Scopus citations

Abstract

The HIV-AIDS epidemic is one of the most challenging and significant health crises facing the world today. In order to cope with its complexities, the United Nations and World Health Organization have increasingly relied upon the resources offered by networks of HIV-AIDS nongovernmental organizations (NGOs). The research reported here uses evolutionary theory to predict the patterns of alliances and collaborations within the HIV-AIDS International Nongovernmental Organizations (INGO) network. The hypotheses are tested using 8 years of data from the Yearbook of International Organizations. The results showed that geographic proximity and common ties with intergovernmental organizations (IGOs) predict the pattern of alliances among HIV-AIDS INGOs. The best predictor of such alliances, however, is past relationships among these organizations.

Original languageEnglish (US)
Pages (from-to)482-510
Number of pages29
JournalHuman Communication Research
Volume31
Issue number4
DOIs
StatePublished - Oct 1 2005

ASJC Scopus subject areas

  • Communication
  • Developmental and Educational Psychology
  • Anthropology
  • Linguistics and Language

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