Two-Phase Genetic Algorithm for Social Network Graphs Clustering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00209377" target="_blank" >RIV/68407700:21230/13:00209377 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/13:00427034
Result on the web
<a href="http://dx.doi.org/10.1109/WAINA.2013.165" target="_blank" >http://dx.doi.org/10.1109/WAINA.2013.165</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WAINA.2013.165" target="_blank" >10.1109/WAINA.2013.165</a>
Alternative languages
Result language
angličtina
Original language name
Two-Phase Genetic Algorithm for Social Network Graphs Clustering
Original language description
An important and useful task of a social network analysis is partitioning of its users into clusters. The structure of a social network can be naturally modeled by a directed graph. This approach transforms clustering of the users into searching for highly connected sub graphs in such a social network model. Many different approaches and algorithms for this problem exist, one of the possibilities is to utilize genetic algorithms for solving this type of task. In this paper, we analyze several differentgenetic operators and propose evolutionary based algorithm for clustering in the domain of directed weighted graphs.
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/GAP202%2F11%2F1368" target="_blank" >GAP202/11/1368: Learning of functional relationships from high-dimensional data</a><br>
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
27th International Conference on Advanced Information Networking and Applications Workshops
ISBN
978-0-7695-4952-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
197-202
Publisher name
IEEE Computer Soc.
Place of publication
Los Alamitos, CA
Event location
Barcelona
Event date
Mar 25, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000327181600033