Improved model of social networks dynamics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F16%3A43891520" target="_blank" >RIV/60076658:12310/16:43891520 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=DXWV1JHVAGM=&t=1" target="_blank" >http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=DXWV1JHVAGM=&t=1</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Improved model of social networks dynamics

Popis výsledku v původním jazyce

Social networks are currently the most studied structures due to their popularity among IT users. In our paper we will focus on the dynamics of the dissemination of information in these networks. We will introduce the advanced heuristic conceptual model of individuals' behavior in the network which is based on need for information and knowledge for solving specific problems; the proposed multi-agent model of the social networks dynamics is based on this concept. This version of the model was adapted for scale-free and growing networks. Experiments conducted with new model were focused on verifying its behavior with respect to knowledge about the type of modeled networks and on observation of dynamic effects in them; the results will be presented as well.

Název v anglickém jazyce

Improved model of social networks dynamics

Popis výsledku anglicky

Social networks are currently the most studied structures due to their popularity among IT users. In our paper we will focus on the dynamics of the dissemination of information in these networks. We will introduce the advanced heuristic conceptual model of individuals' behavior in the network which is based on need for information and knowledge for solving specific problems; the proposed multi-agent model of the social networks dynamics is based on this concept. This version of the model was adapted for scale-free and growing networks. Experiments conducted with new model were focused on verifying its behavior with respect to knowledge about the type of modeled networks and on observation of dynamic effects in them; the results will be presented as well.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 8th International Conference on Agents and Artificial Intelligence - (Volume 1)

ISBN

978-989-758-172-4

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

141-148

Název nakladatele

SciTePress

Místo vydání

Portugalsko

Místo konání akce

Rome; Italy

Datum konání akce

24. 2. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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