Social network reduction based on stability
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86085130" target="_blank" >RIV/61989100:27240/10:86085130 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CASoN.2010.120" target="_blank" >http://dx.doi.org/10.1109/CASoN.2010.120</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CASoN.2010.120" target="_blank" >10.1109/CASoN.2010.120</a>
Alternative languages
Result language
angličtina
Original language name
Social network reduction based on stability
Original language description
The analysis of social networks is concentrated especially on uncovering hidden relations and properties of network members (vertices). Most of the current approaches are focused mainly on different network types and different network coefficients. On one hand, the analysis can be relatively simple; on the other hand some complex approaches to network dynamics can be used. This paper introduces a novel aspect of network analysis based on the so-called Forgetting Curve. For network vertices and edges, wedefine two coefficients, which describe their role in the network depending on their long-term behavior. Using one of these parameters we reduce the network to smaller components. We provide some experimental results using DBLP dataset. Our research illustrates the usefulness of the proposed approach.
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/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: New methods od data transmition based on turbo code</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2010 International Conference on Computational Aspects of Social Networks
ISBN
978-0-7695-4202-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
509-514
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Taiyuan
Event date
Oct 26, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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