Analysis of significance and evolution of co-authorship networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86096687" target="_blank" >RIV/61989100:27240/16:86096687 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_1" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29504-6_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_1" target="_blank" >10.1007/978-3-319-29504-6_1</a>

Result language
angličtina
Original language name
Analysis of significance and evolution of co-authorship networks
Original language description
In co-authorship networks analysis, we may find many interesting tasks. The goals of networks analysis are: studying network structure, detecting communities and their evolution over time, identifying significant authors and relations, and many others. This tutorial is focused on analytical approaches applicable on analysis of co-authorship networks. Mainly three different directions are presented; weighting authors and relations over time, detection and evolution of small communities, and analysis of the evolution of research topics of individual authors. (C) Springer International Publishing Switzerland 2016.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Intelligent Systems and Computing. Volume 427
ISBN
978-3-319-29503-9
ISSN
2194-5357
e-ISSN
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Number of pages
2
Pages from-to
3-4
Publisher name
Springer Verlag
Place of publication
London
Event location
Paříž
Event date
Sep 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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