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26 septembre 2012
- handle: 10670/1.u9axal
- hal: hal-01551743
- doi: 10.1007/978-3-642-33260-9_26
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-33260-9_26
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
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Natural science Sciences Science of science Community Methods of analysis Analysis and chemistry Analytical methods Chemical analysis Analysis methods Analysis and examinationCiter ce document
Václav Snášel et al., « On Spectral Partitioning of Co-authorship Networks », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/978-3-642-33260-9_26
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Résumé
Spectral partitioning is a well known method in the area of graph and matrix analysis. Several approaches based on spectral partitioning and spectral clustering were used to detect structures in real world networks and databases. In this paper, we explore two community detection approaches based on the spectral partitioning to analyze a co-authorship network. The partitioning exploits the concepts of algebraic connectivity and characteristic valuation to form components useful for the analysis of relations and communities in real world social networks.