Social network analysis as knowledge discovery process: A case study on digital bibliography

Michele Coscia, Fosca Giannotti, Ruggero Pensa

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

Today Digital Bibliographies are a powerful instrument that collects a great amount of data about scientific publications. Digital Bibliographies have been used as basis of many studies focused on the knowledge extraction in databases. Here we present a new methodology for mining knowledge in this field. Our approach aims to apply the potential of social network analysis techniques to accomplish this task, using a network representation of bibliography data. Besides we use some data mining techniques applied on social network representations in order to enrich this new point of view and to evolve our methodology towards a comprehensive local and global bibliography analysis workflow seen as a Knowledge Discovery process.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
Pages279-283
Number of pages5
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009 - Athens, Greece
Duration: 20 Jul 200922 Jul 2009

Conference

Conference2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
Country/TerritoryGreece
CityAthens
Period20/07/0922/07/09

Keywords

  • Data mining
  • Digital bibliography
  • Social network

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