Towards the analysis of co-authorship networks by iterative spectral partitioning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86084967" target="_blank" >RIV/61989100:27240/11:86084967 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ISDA.2011.6121635" target="_blank" >http://dx.doi.org/10.1109/ISDA.2011.6121635</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISDA.2011.6121635" target="_blank" >10.1109/ISDA.2011.6121635</a>

Result language
angličtina
Original language name
Towards the analysis of co-authorship networks by iterative spectral partitioning
Original language 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 usea 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 ofrelations and communities in a co-authorship networks.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
11th International Conference on Intelligent Systems Design and Applications ISDA 2011 : proceedings
ISBN
978-1-4577-1676-8
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
82 - 87
Publisher name
IEEE
Place of publication
London
Event location
Cordoba
Event date
Nov 22, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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