GraphDice: A System for Exploring Multivariate Social Networks

@article{Bezerianos2010GraphDiceAS,
  title={GraphDice: A System for Exploring Multivariate Social Networks},
  author={Anastasia Bezerianos and Fanny Chevalier and Pierre Dragicevic and Niklas Elmqvist and Jean-Daniel Fekete},
  journal={Comput. Graph. Forum},
  year={2010},
  volume={29},
  pages={863-872}
}
Social networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these networks produces additional attributes such as degree, centrality, and clustering coefficients. Understanding the effects of this plethora of attributes is one of the main challenges of multivariate SNA. We present the design of GraphDice, a multivariate network visualization system for exploring the attribute space of… CONTINUE READING
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