The document proposes a social model for literature access that incorporates a weighted social network of authors. It presents a generic social information retrieval model involving information producers, documents, social annotations and relationships. For literature access specifically, it extracts a social network of authors based on co-authorships and citations. This network is weighted based on factors like co-authorship similarity and influence of citations. Author importance is then computed using measures like PageRank to derive a document's social score. The model is evaluated on ACM SIGIR publications, outperforming baselines that don't incorporate the weighted social network. Future work involves integrating additional social features and evaluating on more datasets.

1. A Social Model for literature Access:Towards a weighted social network of authorsLamjed Ben Jabeur, Lynda Tamine and MohandBoughanemIRIT, University of Paul Sabatier, Toulouse{jabeur,tamine,bougha}@irit.fr1

2. A social model for Literature access: Towards a weighted social network OverviewTowards Social Information RetrievalA Generic Social Information Retrieval ModelA Social Model for Literature accessExperimental evaluationConclusion and future work2

3. 1. Towards Social Information Retrieval Model1. Social Information RetrievalIRSQueryTagComment3Towards SIR Model A Generic SIR Model A Social Model for LA Experimental evaluation Conclusion

4. 1. Towards Social Information Retrieval Model1. Social Information RetrievalInformationProducerDocumentsSocial Information RetrievalInformation ConsumerSocial AnnotationsR(q,d,G)R(q,d)4Towards SIR Model A Generic SIR Model A Social Model for LA Experimental evaluation Conclusion

5. 1. Towards Social Information Retrieval Model1. Social Information RetrievalIntegrate social network in the retrieval process

6. Access to relevant information by exploring the social network

7. Estimate document relevance from the social context

8. Crossing two domains

9. Information Retrieval

10. Represent and compare document /query

11. Social Network Analysis

12. Represent social entities and relationships

13. Estimate individual’s centralityRelevant information is related to importantpersons5Towards SIR Model A Generic SIR Model A Social Model for LA Experimental evaluation Conclusion

14. 1. Towards Social Information Retrieval Model2. Domain applications of Social Information RetrievalOnline communitiesRanking and clustering [Handcock, 2007] [Wai, 2008] [Li, 2009]

15. Member and group similarity [Spertus, 2005]

16. Collaborative Production

17. Quality, authority (people/content) [korfatis, 2006] [Hu, 2007] [Wilkonson, 2007]

18. Knowledge sharing, transfer [Kang, 2009] [Agostini, 2003] [Hassen, 2002]

19. Finding innovation and creativity networks [Goyal, 2008]

20. Social recommender systems

21. User/ document similarity [Jamali, 2009] [Ma, 2009] [McDonald, 2009]

22. Collaborative filtering [Konstas, 2009] [Siersdorfer, 2009] [Nakamoto, 2008] [Sen, 2009]6Towards SIR Model A Generic SIR Model A Social Model for LA Experimental evaluation Conclusion

23. 1. Towards Social Information Retrieval Model2. Domain applications of Social Information RetrievalSocial Networking /bookmarking

24. Tags suggestion [Budura, 2008] [Heymann, 2008] [Qu, 2008]

25. Folksonomy[Ding,2009] [Soledad,2009]

26. Expert search