Ssnetviz: A visualization engine for heterogeneous semantic social networks

• Main Authors: LIM, Ee Peng, MAUREEN, Maureen, IBRAHIM, Nelman Lubis, SUN, Aixin, DATTA, Anwitaman, CHANG, Kuiyu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Semantic social network; SSnetViz; Social network exploration; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/471; https://ink.library.smu.edu.sg/context/sis_research/article/1470/viewcontent/p213_lim.pdf
• Institution: Singapore Management University

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 di®erent 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.