Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools

by Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg (2006). Proceedings of the International Conference on Weblogs and Social Mining (ICWSM 2007). Also as IlliGAL TR. No. 2006026. Link to the PDF. Abstract The blogsphere is a valuable source of information. From simple topic analysis in the blogosphere—what’s hot—to harvesting and analyzing valuable market trends—what product and features are suggested—require a tight integration of computer- and human-based analysis capabilities. Computers can easily assist the processing filtering and visualizing relevant and key elements of the blogosphere, but coupling them with human evaluation and reasoning can provide the final steps to connect pieces of relevant information into better description map of the current trends of the blogosphere....

Mar 26, 2007 · 1 min · 186 words · Xavier Llorà

Delineating Topic and Discussant Transitions in Online Collaborative Environments

by Noriko Imafuji Yasui, Xavier Llorà, and David E. Goldberg (2006). Illinois Technical Report No. 2006025. Link to the PDF. Abstract In this paper, we propose some methodologies for delineating topic and discussant transitions in online collaborative environments, more precisely, focus group discussions for product conceptualization. First, we propose KEE (Key Elements Extraction) algorithm, an algorithm for simultaneously finding key terms and key persons in a discussion. Based on KEE algorithm, we propose approaches for analyzing two important factors of discussions: discussion dynamics and emerging social networks....

Dec 13, 2006 · 1 min · 120 words · Xavier Llorà

Mining social networks in message boards

by Matsumura, N., Goldberg, D.E., Llorà, X. (2005). Published in the Symposium on Conversational Informatics for Supporting Social Intel ligence, The Society for the Study of Artificial Intelligence and the Simulation of Behavior Press, pp. 18–27. Also as IlliGAL TR No 2005001. More info. Abstract: In this paper, we first present an approach to extract social networks from message boards on the Internet. Then we show structural features of 3,000 social networks extracted from 3,000 message boards from 15 categories in Yahoo!...

Apr 12, 2005 · 1 min · 151 words · Xavier Llorà