SSnetViz: a visualization engine for heterogeneous semantic social networks

  • Authors:
  • Ee-Peng Lim; Maureen;Nelman Lubis Ibrahim;Aixin Sun;Anwitaman Datta;Kuiyu Chang

  • Affiliations:
  • Singapore Management University;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore

  • Venue:
  • Proceedings of the 11th International Conference on Electronic Commerce
  • Year:
  • 2009

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Abstract

SSnetViz is an ongoing research to design and implement a visualization engine for heterogeneous semantic social networks. A semantic social network is a multi-modal network that contains nodes representing different types of people or object entities, and edges representing relationships among them. When multiple heterogeneous semantic social networks are to be visualized together, SSnetViz provides a suite of functions to store heterogeneous semantic social networks, to integrate them for searching and analysis. We will illustrate these functions using social networks related to terrorism research, one crafted by domain experts and another from Wikipedia.