Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1

Research Article

You Never Walk Alone: Recommending Academic Events Based on Social Network Analysis

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  • @INPROCEEDINGS{10.1007/978-3-642-02466-5_64,
        author={Ralf Klamma and Pham Cuong and Yiwei Cao},
        title={You Never Walk Alone: Recommending Academic Events Based on Social Network Analysis},
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1},
        proceedings_a={COMPLEX PART 1},
        year={2012},
        month={5},
        keywords={Recommender systems Social Network Analysis community analysis community of practice information visualization},
        doi={10.1007/978-3-642-02466-5_64}
    }
    
  • Ralf Klamma
    Pham Cuong
    Yiwei Cao
    Year: 2012
    You Never Walk Alone: Recommending Academic Events Based on Social Network Analysis
    COMPLEX PART 1
    Springer
    DOI: 10.1007/978-3-642-02466-5_64
Ralf Klamma1,*, Pham Cuong1,*, Yiwei Cao1,*
  • 1: RWTH Aachen University
*Contact email: klamma@dbis.rwth-aachen.de, pham@dbis.rwth-aachen.de, cao@dbis.rwth-aachen.de

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.