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Description
  • 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 and mine data from real world networks. In this paper, we use a simple spectral decomposition to analyze a co-authorship network. We use a straightforward approach based on algebraic connectivity and characteristic valuation and show that even this simple form of spectral partitioning is useful for the analysis of relations and communities in a co-authorship networks.
  • 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 and mine data from real world networks. In this paper, we use a simple spectral decomposition to analyze a co-authorship network. We use a straightforward approach based on algebraic connectivity and characteristic valuation and show that even this simple form of spectral partitioning is useful for the analysis of relations and communities in a co-authorship networks. (en)
Title
  • Towards the analysis of co-authorship networks by iterative spectral partitioning
  • Towards the analysis of co-authorship networks by iterative spectral partitioning (en)
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  • Towards the analysis of co-authorship networks by iterative spectral partitioning
  • Towards the analysis of co-authorship networks by iterative spectral partitioning (en)
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  • RIV/61989100:27240/11:86084967!RIV13-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
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  • 235640
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/11:86084967
http://linked.open...riv/jazykVysledku
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  • spectral partitioning; co-authorship; Fiedler vector; DBLP (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3458456BCDD3]
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  • Cordoba
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  • London
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  • 11th International Conference on Intelligent Systems Design and Applications ISDA 2011 : proceedings
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
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  • Krömer, Pavel
  • Platoš, Jan
  • Snášel, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ISDA.2011.6121635
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  • IEEE
https://schema.org/isbn
  • 978-1-4577-1676-8
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  • 27240
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