Social Networks

Meandre (NCSA pushed data-intensive computing infrastructure) relies on RDF to describe components, flows, locations and repositories. RDF has become the central piece that makes possible Meandre’s flexibility and reusability. However, one piece still remains largely sketchy and still has no clear optimal solution: How can we facilitate to anybody sharing, publishing and annotating flows, components, locations and repositories? More importantly, how can that be done in the cloud in an open-ended fashion and allow anybody to annotate and comment on each of the afore mentioned pieces?...

by Naohiro Matsumura, David E. Goldberg, and Xavier Llorà (2006). Journal of Soft Computing, Volume 11 , Issue 8, pp. 791–798, ACM press. Link to the ACM portal. Initial work also available as IlliGAL TR No 2005001. Abstract In the paper, we first present an approach to extract social networks from message boards on the Internet. Then we propose communication gaps based on structural features of the social networks as an indicator of understanding the state of communication....

by Xavier Llorà and David E. Goldberg, Yukio Ohsawa, Naohiro Matsumura, Yuichi Washida, Hiroshi Tamura, Masataka Yoshikawa, Michael Welge, Loretta Auvil, Duane Searshmith, Kei Ohnishi, and Chen-Ju Chao (2006). New Mathematics and Natural Computation, World Scientific, pp. 2(1):85–100. Link to the Journal publication. Abstract Creativity protocols and methodologies tend to be time consuming if applied manually. This paper presents how information technologies can support innovation and creativity for collaborative scenario creation and discussion....

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!...