An ACO inspired weighting approach for the spectral partitioning of co-authorship networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084955" target="_blank" >RIV/61989100:27240/12:86084955 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/12:86084955
Result on the web
<a href="http://dx.doi.org/10.1109/CEC.2012.6252863" target="_blank" >http://dx.doi.org/10.1109/CEC.2012.6252863</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2012.6252863" target="_blank" >10.1109/CEC.2012.6252863</a>
Alternative languages
Result language
angličtina
Original language name
An ACO inspired weighting approach for the 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 use the spectral partitioning to detect communities in a co-authorship network. The partitioning depends heavily on the weighting of the underlying network. We use an intuitive weighting scheme based on the ant colony optimization and show the communities found by spectral partitioning when using the ACO inspired weighting and when using trivial weighting based on the number of interactions between the authors.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2012 IEEE Congress on Evolutionary Computation (CEC), 2012
ISBN
978-1-4673-1509-8
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1-7
Publisher name
IEEE
Place of publication
New York
Event location
Brisbane
Event date
Jun 10, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312859300008