Modern Information Retrieval
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Lucene in Action (In Action series)
Lucene in Action (In Action series)
Trust, authority and popularity in social information retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
Applying centrality measures to impact analysis: A coauthorship network analysis
Journal of the American Society for Information Science and Technology
An Exploratory Study on Using Social Information Networks for Flexible Literature Access
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Toward alternative metrics of journal impact: A comparison of download and citation data
Information Processing and Management: an International Journal - Special issue: Infometrics
Co-authorship networks in the digital library research community
Information Processing and Management: an International Journal - Special issue: Infometrics
Using terms from citations for IR: some first results
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Using prior information derived from citations in literature search
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Age dependent document priors in link structure analysis
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Beyond the web: retrieval in social information spaces
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
BibRank: a language-based model for co-ranking entities in bibliographic networks
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Combining social information for academic networking
Proceedings of the 2013 conference on Computer supported cooperative work
Social linkage and ranking model for tags-based resources
International Journal of Metadata, Semantics and Ontologies
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This paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors positions in the social network and their mutual collaborations. Assigned weights express influence, knowledge transfer and shared interest between authors. Furthermore, we estimate document relevance by combing the document-query similarity and the document social importance derived from corresponding authors. To evaluate the effectiveness of our model, we conduct a series of experiments on a scientific document dataset that includes textual content and social data extracted from the academic social network CiteU-Like. Final results show that the proposed model improves the retrieval effectiveness and outperforms traditional and social information retrieval baselines.