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Reconstructing History of Social Network Evolution Using Web Search Engines

  • Jin Akaishi
  • Hiroki Sayama
  • Shelley D. Dionne
  • Xiujian Chen
  • Alka Gupta
  • Chanyu Hao
  • Andra Serban
  • Benjamin James Bush
  • Hadassah J. Head
  • Francis J. Yammarino
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 87)

Abstract

We propose a simple web search engine based method for collecting approximated historical data of temporally changing social adaptive networks, which are rather difficult to obtain experimentally in conventional research methods. In the proposed method, a search query string is combined with additional keywords that specify inclusion/exclusion of specific years to limit the search results to a particular time point. Using the proposed method, we reconstructed the temporal evolution of a social network from 2005 to 2009 of 93 individuals who are important in the US economy. We measured centralities of those individuals for every year and found several illustrative cases where the temporal change of centrality of an individual correctly captured the actual events that are related to him/her over this time period. These results indicate the effectiveness of the proposed method. Limitations and future directions of research are discussed.

Keywords

Social networks adaptive networks network evolution centrality data collection web search engines 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Jin Akaishi
    • 1
    • 6
  • Hiroki Sayama
    • 1
    • 2
    • 3
    • 4
  • Shelley D. Dionne
    • 1
    • 4
    • 5
  • Xiujian Chen
    • 1
    • 5
  • Alka Gupta
    • 1
    • 4
    • 5
  • Chanyu Hao
    • 1
    • 4
    • 5
  • Andra Serban
    • 1
    • 4
    • 5
  • Benjamin James Bush
    • 1
    • 3
  • Hadassah J. Head
    • 1
    • 3
  • Francis J. Yammarino
    • 1
    • 4
    • 5
  1. 1.Collective Dynamics of Complex Systems Research GroupBinghamton University, State University of New YorkBinghamtonUSA
  2. 2.Department of BioengineeringBinghamton University, State University of New YorkBinghamtonUSA
  3. 3.Department of Systems Science and Industrial EngineeringBinghamton University, State University of New YorkBinghamtonUSA
  4. 4.Center for Leadership StudiesBinghamton University, State University of New YorkBinghamtonUSA
  5. 5.School of ManagementBinghamton University, State University of New YorkBinghamtonUSA
  6. 6.Kumamoto National College of TechnologyYatsushiroJapan

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