1. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Visualizing social network concepts Presenter : Chun-Ping Wu Authors :Bin Zhu, Stephanie Watts, Hsinchun Chen DSS 2010 國立雲林科技大學 National Yunlin University of Science and Technology 1

2. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Outline Motivation Objective Methodology Experiments Conclusion Comments 2

3. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Motivation Social network concepts are invaluable for understanding the social network phenomena. Most existing network visualization techniques provide limited support for the comprehension of network concepts. 3

4. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Objective To propose an approach called concept visualization to facilitate the understanding of social network concepts. The NetVizer system facilitated better understanding of the concepts of betweenness centrality, gatekeepers of subgroups, and structural similarity. 4

5. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology The proposed layout algorithm consists of three steps.  A circular SOM is applied to categorize actors and lay them out along a circle.  The betweenness centrality of each actor is calculated.(The distance between the center and actor )  The degree centrality of each actor is calculated.(The size of actor) 5

6. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments Task design 6

7. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments 7

8. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Conclusion 8 8 The proposed concept visualization approach that explicitly presents the network concepts of degree centrality, betweenness centrality, subgroup identification, gatekeepers, and structural equivalence.

9. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Comments 9 9 Advantage  Really help for understanding of social network concepts. Drawback  …… Application  Network visualization  Social network analysis  Information categorization  Information analysis