Abstract
Combining Social Network Analysis and recommender systems is a challenging research field. In scientific communities, recommender systems have been applied to provide useful tools for papers, books as well as expert finding. However, academic events (conferences, workshops, international symposiums etc.) are an important driven forces to move forwards cooperation among research communities. We realize a SNA based approach for academic events recommendation problem. Scientific communities analysis and visualization are performed to provide an insight into the communities of event series. A prototype is implemented based on the data from DBLP and EventSeer.net, and the result is observed in order to prove the approach.
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Klamma, R., Cuong, P.M., Cao, Y. (2009). You Never Walk Alone: Recommending Academic Events Based on Social Network Analysis. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02466-5_64
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DOI: https://doi.org/10.1007/978-3-642-02466-5_64
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