Local dependency in networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093045" target="_blank" >RIV/61989100:27240/14:86093045 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86093045
Result on the web
<a href="http://dx.doi.org/10.1109/INCoS.2013.44" target="_blank" >http://dx.doi.org/10.1109/INCoS.2013.44</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INCoS.2013.44" target="_blank" >10.1109/INCoS.2013.44</a>
Alternative languages
Result language
angličtina
Original language name
Local dependency in networks
Original language description
Many real world data or process eave a network structure and can usefully be represented as graphs. Network analysis focuses on the relations among the nodes exploring the properts hies of network. We introduce a method for measuring the dependency between the nodes of a network, that is based on a structure in the local surroundings of the node. The approach extracts relations between the network's nodes and from either unweighted or already weighted network we get a weighted network where the assigned edge weights reflect the dependency between the nodes. Additionally, from dependency between the nodes, we derive a novel degree centrality measure which provides an interesting view on the importance of the node in a network.
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
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - 5th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2013
ISBN
978-0-7695-4988-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
250-254
Publisher name
IEEE
Place of publication
New York
Event location
Xi'an
Event date
Sep 9, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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