The current study attempts to address the social-technical gap by developing a toolkit that can help information seekers to search for expertise and seek information via their social networks. The focus of the current study is technical development of a toolkit that supports expertise sharing via social networks. Once such a toolkit is in place, it can facilitate researches that are more concerned with applications in social and organizational perspectives. Following a proposed full-fledged social network-powered expert searching and information sharing framework on the theoretical side, the study then reports a toolkit of Seeking Information via Social Networks (SISN), which is a general-purpose toolkit for social network-based information sharing applications that combines techniques in information retrieval, social network, and peer-to-peer system. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Zhang, J., Ye, Y., Ackerman, M. S., & Qu, Y. (2007). SISN: A toolkit for augmenting expertise sharing via social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4564 LNCS, pp. 491–500). Springer Verlag. https://doi.org/10.1007/978-3-540-73257-0_54
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