Local representatives in weighted networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092470" target="_blank" >RIV/61989100:27240/14:86092470 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ASONAM.2014.6921688" target="_blank" >http://dx.doi.org/10.1109/ASONAM.2014.6921688</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ASONAM.2014.6921688" target="_blank" >10.1109/ASONAM.2014.6921688</a>
Alternative languages
Result language
angličtina
Original language name
Local representatives in weighted networks
Original language description
The main features of current real-world networks are their large sizes and structures, which show varying degrees of importance of the nodes in their surroundings. The topic of evaluating the importance of the nodes offers many different approaches thatusually work with unweighted networks. We present a novel, simple and straightforward approach for the evaluation of the network's nodes with a focus on local properties in their surroundings. The presented approach is intended for weighted networks where the weight can be interpreted as the proximity between the nodes. Our suggested x-representativeness then takes into account the degree of the node, its nearest neighbors and one other parameter which we call the x-representativeness base. Following that, we also present experiments with three different real-world networks. The aim of these experiments is to show that the x-representativeness can be used to deterministically reduce the network to differently sized samples of representa
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
ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
ISBN
978-1-4799-5877-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
870-875
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Beijing
Event date
Aug 17, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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