Representativeness in unweighted networks based on local dependency
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86096684" target="_blank" >RIV/61989100:27240/14:86096684 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86096684
Result on the web
<a href="http://dx.doi.org/10.1109/INCoS.2014.68" target="_blank" >http://dx.doi.org/10.1109/INCoS.2014.68</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INCoS.2014.68" target="_blank" >10.1109/INCoS.2014.68</a>
Alternative languages
Result language
angličtina
Original language name
Representativeness in unweighted networks based on local dependency
Original language description
Structures of real-world networks show varying degrees of importance of the nodes in their surroundings. The topic of evaluating the importance of the nodes offers many different approaches. We present simple and straightforward approach for the evaluation of the nodes in undirected unweighted networks. The approach is based on x-representativeness measure which is originally intended for weighted networks. The x-representativeness takes into account the degree of the node and its nearest neighbors. Experiments with different real-world unweighted networks are presented. To apply the presented method it is necessary to transform undirected unweighted network into weighted network. Weights in our experiments are measured by dependency between adjacent nodes. The aim of these experiments is to show that the x-representativeness can be used to deterministically reduce the unweighted network to differently sized samples of representatives, while maintaining topological properties of the or
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/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
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 - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014
ISBN
978-1-4799-6386-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
509-514
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Salerno
Event date
Sep 10, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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