Local representatives in weighted networks

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Local representatives in weighted networks

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Local representatives in weighted networks

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

—

e-ISSN

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Počet stran výsledku

6

Strana od-do

870-875

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Beijing

Datum konání akce

17. 8. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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