Social and Swarm Aspects of Co-authorship Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084530" target="_blank" >RIV/61989100:27240/12:86084530 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/12:86089195
Result on the web
<a href="http://dx.doi.org/10.1093/jigpal/jzr002" target="_blank" >http://dx.doi.org/10.1093/jigpal/jzr002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/jigpal/jzr002" target="_blank" >10.1093/jigpal/jzr002</a>
Alternative languages
Result language
angličtina
Original language name
Social and Swarm Aspects of Co-authorship Network
Original language description
The analysis of social networks is concentrated mainly on uncovering hidden relations and properties of network nodes (vertices). Most of the current approaches are focused on different network types and different network coefficients. This article introduces a social network analysis based on the so-called Forgetting Curve and Swarm Intelligence inspired by the Ant Colony Optimization. We analyse a co-authorship network and identify two types of ties among its nodes. The Forgetting Curve and Swarm Intelligence are used to model the dynamics of such a network.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
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)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Logic journal of IGPL
ISSN
1367-0751
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
634-643
UT code for WoS article
000304530500011
EID of the result in the Scopus database
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