Culturally infused social network Analysis

Eunice E. Santos, Eugene Santos, Long Pan, John T. Wilkinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social networks are an important way to represent and analyze social phenomena. One aspect that is critical in order to provide relevant and useful analyses is the capability to infuse culture systematically. Cultural elements are typically either lacking or implicitly (and sometimes unintentionally) embedded in social network construction. Thus, current SNA approaches must deal with imprecise, un-realistic, and incomplete data. In this paper, we propose a generic approach to systematically model culture and infuse it into social networks to obtain more realistic and complete social network data sets that can provide insight into the probable intentions and behaviors of the actors in the network. In fact, in this paper we will introduce the concept of culturally-infused social networks, their construction, and their capability to provide fuller and more relevant social network analyses.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications
Pages449-455
Number of pages7
StatePublished - Dec 1 2008
Externally publishedYes
Event2008 International Conference on Artificial Intelligence, ICAI 2008 and 2008 International Conference on Machine Learning; Models, Technologies and Applications, MLMTA 2008 - Las Vegas, NV, United States
Duration: Jul 14 2008Jul 17 2008

Publication series

NameProceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications

Conference

Conference2008 International Conference on Artificial Intelligence, ICAI 2008 and 2008 International Conference on Machine Learning; Models, Technologies and Applications, MLMTA 2008
Country/TerritoryUnited States
CityLas Vegas, NV
Period7/14/087/17/08

Keywords

  • Bayesian knowledge base
  • Culturally-infused social network
  • Culture
  • Social network analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software
  • Computer Science Applications

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