Using self-organizing maps for identification of roles in social networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089192" target="_blank" >RIV/61989100:27240/13:86089192 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using self-organizing maps for identification of roles in social networks
Original language description
In social networks the participants may be characterized by their roles. We understand roles as different patterns of link structure in the network. These roles describe the node and its activity in the network over time. Self-organizing maps (SOMs) - type of artificial neural-networks, are used for node's role identification and for discovery of all the roles present in the network. Different data preprocessing methods allow us to capture different aspects of roles. We show results of the experiment with a large scale co-authorship network constructed from a DBLP dataset.
Czech name
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Czech description
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Project
<a href="/en/project/EE.2.3.20.0072" target="_blank" >EE.2.3.20.0072: Development of human resources in research and development of latest soft computing methods and their application in practice</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2013 5th International Conference on Computational Aspects of Social Networks, CASoN 2013
ISBN
978-1-4799-1409-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
44-49
Publisher name
IEEE
Place of publication
New York
Event location
Fargo
Event date
Aug 12, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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