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Identification of highly influential individuals in a rural social network

Published:11 January 2013Publication History

ABSTRACT

The purpose of this paper is to gain insights to improve effectiveness of an intervention. This is achieved by visualizing the flow of information through a social network constructed in order to motivate behavior change. Early adopters in this social network are identified by computing an F-score[2] for individuals, which corresponds to their influence within their communities. This influence decays with distance across the network. Thus, highly influential individuals in communities are identified. This information can potentially be used to improve the efficiency of this intervention.

References

  1. M. Newman. The structure and function of complex networks. SIAM review, 45(2):167--256, 2003.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. C. J. V. Rijsbergen. Information Retrieval. Butterworth-Heinemann, 1979. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. E. M. Rogers. Diffusion of innovations (5. ed.). Free Press, 2003.Google ScholarGoogle Scholar
  4. S. V. Stehman. Selecting and interpreting measures of thematic classification accuracy. Remote Sensing of Environment, 62(1):77--89, 1997.Google ScholarGoogle Scholar

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  1. Identification of highly influential individuals in a rural social network

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            cover image ACM Other conferences
            ACM DEV '13: Proceedings of the 3rd ACM Symposium on Computing for Development
            January 2013
            233 pages
            ISBN:9781450318563
            DOI:10.1145/2442882

            Copyright © 2013 Authors

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 11 January 2013

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