Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Local Centers of the Social Network

  • Received : 20101100
  • Accepted : 20110100
  • Published : 2011.03.31
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Abstract

For the social network of n nodes, one might be interested in finding k nodes to disseminate the information as quickly as possible or to identify key nodes of high "local centrality". I propose two algorithms for determining k "local centers" of the network and work on a real case.

Keywords

References

  1. Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification, Social Networks, 1, 215–239.
  2. Goodreau, S. M., Handcock, M. S., Hunter, D. R., Butts, C. T. and Morris, M. (2008). A statnet tutorial, Journal of Statistical Software, 24, 1–26.
  3. Huh, M. H. (2010). Introduction to Social Network Analysis using R, Freedom Academy, Seoul. (Written in Korean)
  4. Hunter, D. R., Handcock, Butts, C. T., M. S., Goodreau, S. M. and Morris, M. (2008). ergm: A package to fit, simulate and diagnose exponential-family models for networks, Journal of Statistical Software, 24, 1–29.
  5. Wasserman, S. and Faust, K. (1994). Social Network Analysis: Methods and Applications, Cambridge University Press.

Cited by

  1. Fuzzy k-Means Local Centers of the Social Networks vol.19, pp.2, 2012, https://doi.org/10.5351/CKSS.2012.19.2.213