Abstract
This paper addresses the issue of expert finding in a social network. The task of expert finding, as one of the most important research issues in social networks, is aimed at identifying persons with relevant expertise or experience for a given topic. In this paper, we propose a propagation-based approach that takes into consideration of both person local information and network information (e.g. relationships between persons). Experimental results show that our approach can outperform the baseline approach. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Zhang, J., Tang, J., & Li, J. (2007). Expert finding in a social network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4443 LNCS, pp. 1066–1069). Springer Verlag. https://doi.org/10.1007/978-3-540-71703-4_106
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