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Issue No.02 - March/April (2009 vol.13)
pp: 51-59
Matthias Trier , IKM Research Group at the Institute of Information Systems, TU Berlin
Annette Bobrik , IKM Research Group at the Institute of Information Systems, TU Berlin
Content authors are increasingly using the Internet to network, providing each other with advice, collaboratively filtering important information, and creating virtual networks of trust. To adequately understand this social cyberspace, we must be able to search and explore the patterns and processes of group interaction. A novel software-based approach addresses this objective. The method is built on the concepts of social translucency and social network analysis, extending the latter by including keyword analysis, dynamic network visualization, and additional modeling properties. On the basis of these models, the authors suggest a visualization-based procedure for searching and exploring social corpora using combinable filtering algorithms. They offer two examples—an electronic discussion and a corporate email network—to demonstrate search and retrieval in networks. Their examples further yield novel insights into the actual dynamics of content dissemination and network evolvement among virtual network members.
social network analysis, social search, social corpora, network dynamics, social networks, social networking
Matthias Trier, Annette Bobrik, "Social Search: Exploring and Searching Social Architectures in Digital Networks", IEEE Internet Computing, vol.13, no. 2, pp. 51-59, March/April 2009, doi:10.1109/MIC.2009.44
1. C. Fischer, America Calling: A Social History of the Telephone to 1940, University of California Press, 1992.
2. P. DiMaggio et al., "Social Implications of the Internet," Ann. Rev. Sociology, vol. 27, Aug. 2001, pp. 307–336.
3. S.C. Herring et al., "Bridging the Gap: A Genre Analysis of Weblogs," Proc. 37th Hawaii Int'l Conf. System Sciences, IEEE Press, 2004; HICSS.2004.1265271.
4. E. Mayo, The Social Problems of an Industrial Civilization, Routledge &K. Paul, 1949.
5. D. Boyd and J. Heer, "Profiles as Conversation: Networked Identity Performance on Friendster," Proc. 39th Hawaii Int'l Conf. System Sciences, 2006, IEEE Press; HICSS.2006.394.
6. T. Erickson and W.A. Kellogg, "Social Translucence: An Approach to Designing Systems that Mesh with Social Processes," Trans. Computer-Human Interaction, vol. 7, no. 1, ACM Press, 2000, pp. 59–83.
7. T. Erickson, "Persistent Conversation: An Introduction," J. Computer-Mediated Comm., vol. 4, no. 4, 1999;
8. S. Wasserman and K. Faust, Social Network Analysis: Methods and Applications, Cambridge Univ. Press, 1994.
9. N.M. Tichy, M.L. Tushman, and C. Fombrun, "Social Network Analysis for Organizations," Academy of Management Review, vol. 4, no. 4, 1979, pp. 507–519.
10. G. Battista Di, Graph Drawing: Algorithms for the Visualization of Graphs, Prentice Hall, 1999.
11. S.K. Card, J.D. Mackinlay, and B. Schneiderman, Information Visualization, Using Vision to Think, Morgan Kaufmann, 1999.
12. J. Scott, Social Network Analysis: A Handbook, Sage Publication, 1991.
13. J. Bertin, Semiology of Graphics, Univ. of Wisconsin Press, 1983.
14. M. Castellanos, "HotMiner? Discovering Hot Topics from Dirty Text," M. Berry ed., Survey of Text Mining, Springer, 2004, pp. 123–158.
15. J. Moody, D., McFarland, and S. Bender-DeMoll, "Dynamic Network Visualization," American J. Sociology, vol. 110, no. 4, 2005, pp. 1206–1241.
16. T.M.J. Fruchterman and E.M. Reingold, "Graph Drawing by Force-Directed Placement," Software —Practice &Experience, vol. 21, no. 11, 1991, pp. 1129–64.
17. H.-K. Cho, M. Trier, and E. Kim, "The Use of Instant Messaging in Working Relationship Development: A Case Study," J. Computer-Mediated Comm., vol. 10, no. 4, 2005; .
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