An environment for building, exploring and querying academic social networks

  • Authors:
  • Veselin Ganev;Zhaochen Guo;Diego Serrano;Brendan Tansey;Denilson Barbosa;Eleni Stroulia

  • Affiliations:
  • University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada

  • Venue:
  • Proceedings of the International Conference on Management of Emergent Digital EcoSystems
  • Year:
  • 2009

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Abstract

Social network analysis aims at uncovering and understanding the structures and patterns resulting from social interactions among individuals and organizations engaged in a common activity. Since the early days of the field, networks are modeled as graphs modeling social actors and the relations between them. The field has become very active with the maturity of computational machinery to handle large-scale graphs, and, more recently, the automated gathering of social data. We introduce ReaSoN: a comprehensive set of tools for visualizing and exploring social networks resulting from academic research. In doing so, ReaSoN contributes to the understanding as well as fostering of the social networks underlying academic research. We describe the infrastructure, visualizations and analysis provided in our system, as well as the process of extracting the social networks which are latent in bibliographic and citation databases.