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Toward a Method for Citation Recommendation in Citation Network

Ghareh Chamani, Javad | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 44550 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Habibi, Jafar
  7. Abstract:
  8. Study of real networks has become an important research task. Real networks appear in different domains such as social networks and biological networks. It is also possible to extract various networks from the set of scientific collaborations of published papers. In this project we investigate the analysis of citation network and co-authorship networks of scientific papers in order to find out a new method in citation recommendation of scientific papers. Presented method have some superior properties over existing citation recommendation systems like combining different fields for suggesting most relevant papers to user, in response of user’s input keywords. For presenting this method we have done some steps which are described below . First, we have introduced new network datasets which has extracted from digital library of CiteSeerX. We had run a crawler on the website of CiteSeerX to create a database of papers and using this database, we have extracted the citation and collaboration networks. We have made the database and the network datasets publicly available. Second, we’ve studied the features and the topological properties in the graph of the citation and collaboration networks. Finally we’ve present an extraction and ranking method which used for suggestion, and have compared the result of other methods by our’s
  9. Keywords:
  10. Recommender System ; Search ; Citation Network ; Keywords ; Citation Recommendation

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