untitled
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<identifier>oai:HAL:hal-00786162v1</identifier>
<datestamp>2017-12-21</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Sociability vs Network Dynamics: Impact of Two Aspects of Human Behavior on Diffusion Phenomena</title>
<creator>Stattner, Erick</creator>
<creator>Collard, Martine</creator>
<creator>Vidot, Nicolas</creator>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>International Conference on Advances in Social Networks Analysis and Mining</source>
<source>2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining</source>
<source>IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)</source>
<coverage>Istanbul, Turkey</coverage>
<identifier>hal-00786162</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00786162</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00786162</source>
<source>IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2012, Istanbul, Turkey. pp.618-622, 2012, 〈10.1109/ASONAM.2012.104〉</source>
<identifier>DOI : 10.1109/ASONAM.2012.104</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/ASONAM.2012.104</relation>
<language>en</language>
<subject>[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation</subject>
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<type>Conference papers</type>
<description lang=en>In this work, we focus on the issue of diffusion in dynamic networks. We begin by proposing a generic framework that merges two essential aspects of the problem: diffusion and network dynamics. Then, our framework is used for comparing effects of two aspects of the human behavior, sociability and network dynamics. On the one hand the dynamics of the network is related to the movements of individuals in a social space that lead ephemeral social proximity contacts. On the other hand the diffusion phenomenon is studied through the epidemic paradigm. The results obtained by simulations provide original insight about how and why the "social dynamics" of individuals, related to the proximity in a social space and its evolutions, influences diffusion phenomena through a population.</description>
<date>2012</date>
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