Proceedings of the 17th International Conference on World Wide Web 2008
DOI: 10.1145/1367497.1367722
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Extraction and mining of an academic social network

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Cited by 333 publications
(434 citation statements)
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“…This is conceptually similar to the disambiguation performed by probabilistic topics models which detect latent topics by exploiting Probabilistic Latent Semantic Indexing (pLSI) [15] or Latent Dirichlet Allocation [16]. For example the Author-Conference-Topic (ACT) model [17] treats authors as probability distributions over topics, conferences and journals. Differently from them, our approach uses explicit semantic relationships, rather than latent semantic, to drive the generation of unambiguous topics.…”
Section: Discussionmentioning
confidence: 99%
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“…This is conceptually similar to the disambiguation performed by probabilistic topics models which detect latent topics by exploiting Probabilistic Latent Semantic Indexing (pLSI) [15] or Latent Dirichlet Allocation [16]. For example the Author-Conference-Topic (ACT) model [17] treats authors as probability distributions over topics, conferences and journals. Differently from them, our approach uses explicit semantic relationships, rather than latent semantic, to drive the generation of unambiguous topics.…”
Section: Discussionmentioning
confidence: 99%
“…The Saffron system [9], which builds on the Semantic Web Dog Food Corpus [1], allows for advanced expert search and estimates the strength of an author/topic relationship by analyzing co-occurrences on the Web. Arnetminer [17] also provides support for expert search and a variety of analytics on research topics. RKBExplorer [3] is an application that generates comprehensive visualizations of the research environment from a number of heterogeneous data sources.…”
Section: Discussionmentioning
confidence: 99%
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“…On the contrary, Microsoft Academic Search (http://academic.research.microsoft.com/) provides a variety of visualizations, including co-authorship graphs, publication trends, and co-authorship paths between authors. In a similar way Arnetminer [5] also offers different visualizations and provides support for expert search and trend analysis. Saffron [6], which builds on the Semantic Web Dog Food Corpus [7], exploits keywords for expert search and estimates the strength of an author/topic relationship by analyzing co-occurrences on the Web.…”
Section: State Of the Artmentioning
confidence: 99%
“…The other dataset is the DBLP-Citation-network V5 (DBLP) available at Arnetminer.org [19], [20], [21], [22], which consists of two major computer science bibliographic datasets, DBLP and ACM, covering publications from 1936 to 2011. The DBLP dataset contains some of the important papers in computer science that describe widely used techniques and algorithms.…”
Section: A Datamentioning
confidence: 99%