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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-16T16:17:50Z</responseDate> <request identifier=oai:HAL:hal-01514262v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01514262v1</identifier> <datestamp>2017-12-21</datestamp> <setSpec>type:COMM</setSpec> <setSpec>subject:info</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:BNRMI</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Understanding Diffusion Behaviors Through Individual Characteristics</title> <creator>Henry, Didier</creator> <creator>Stattner, Erick</creator> <contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor> <description>International audience</description> <source>20th Biennial General Meeting of The Caribbean Academy of Sciences</source> <source>Caribbean Academy of Sciences (CAS)</source> <coverage>Deshaies, France</coverage> <identifier>hal-01514262</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-01514262</identifier> <source>https://hal.archives-ouvertes.fr/hal-01514262</source> <source>Caribbean Academy of Sciences (CAS), Nov 2016, Deshaies, France. 20th Biennial General Meeting of The Caribbean Academy of Sciences, Vol. 20, pp. 1-1, 2016, 20th Biennial General Meeting of The Caribbean Academy of Sciences</source> <language>en</language> <subject lang=en>social network</subject> <subject lang=en> diffusion</subject> <subject lang=en> modeling</subject> <subject>[INFO] Computer Science [cs]</subject> <type>info:eu-repo/semantics/conferenceObject</type> <type>Conference papers</type> <description lang=en>Numerous diffusion models can be found in the literature. Although these models havebeen widely used to address several problems related to diffusion phenomena at the individuallevel, they do not faithfully represent the microscopic mechanisms that take place in the realtransmission processes. Today, the apparition of new communication media allows model togo further by providing data on many real cases of diffusion. In particular, these newapproaches have shown that several dimensions involved in diffusion phenomena are notpresent in current models. In our works, we focus on two original dimensions to address thediffusion problem: the personality and the neutrality of the spreader. Our aim is to understandthe influence of these two dimensions regarding the diffusion behaviours. Our approach hasbeen used to study diffusion of messages related to several events occurred in January 2015.The results obtained provide a new and interesting lighting on the heterogeneity of thediffusion behaviors in function of personality and neutrality levels. This work provides amethodology which may be useful in marketing strategies, for instance the analysis of thefeatures of individuals who talk about their touristic trips in Caribbean. Such an approach mayalso be useful to understand diffusion and exchange behaviors in the Caribbean basin. Froman economic point of view, such an approach could be used for understanding theexpectations, targeting individuals and proposing tailored offers.</description> <date>2016-11-24</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>