Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/poster/103> ?p ?o. }
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- 103 creator john-hopcroft.
- 103 creator sucheta-soundarajan.
- 103 type InProceedings.
- 103 label "Using Community Information to Improve the Precision of Link Prediction Methods".
- 103 sameAs 103.
- 103 abstract "A great deal of work focuses on analyzing various features of networks; however, network data is often limited and incomplete. Because of this, researchers consider the link prediction problem, which asks the question of which non-existent edges in an incomplete network are most likely to actually exist in the complete network. Classical approaches to this problem compute the `similarity' of two unconnected nodes, and conclude that highly similar nodes are most likely to be connected in the complete network. In this paper, we consider several such similarity-based measures, but supplement the similarity calculations with community information, which may be obtained either from metadata or from community detection algorithms. We show that for many networks, the inclusion of community information improves the accuracy of similarity-based link prediction methods.".
- 103 hasAuthorList authorList.
- 103 isPartOf proceedings.
- 103 isPartOf proceedings.
- 103 keyword "communities".
- 103 keyword "link prediction".
- 103 keyword "social networks".
- 103 title "Using Community Information to Improve the Precision of Link Prediction Methods".