On spectral partitioning of co-authorship networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86088875" target="_blank" >RIV/61989100:27240/12:86088875 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/12:86088875
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-33260-9_26" target="_blank" >http://dx.doi.org/10.1007/978-3-642-33260-9_26</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33260-9_26" target="_blank" >10.1007/978-3-642-33260-9_26</a>

Result language
angličtina
Original language name
On spectral partitioning of co-authorship networks
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 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. 2012 IFIP International Federation for Information Processing.
Czech name
—
Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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