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Influence Analysis In Social Nets

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dc.contributor.author BOUKHALFA, Radhwane
dc.date.accessioned 2019-07-23T08:45:24Z
dc.date.available 2019-07-23T08:45:24Z
dc.date.issued 2019
dc.identifier.uri http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/15671
dc.description.abstract Social influence is the science that study how to change people’s thoughts, feelings or behaviors accompanied with Social Network Analysis (SNA) where it’s important for Mapping and measuring of relationships and flows between people, groups etc. The problem of this research is influence and information diffusion. The methods are used in this work are Linear Threshold Model (LTM) and Independent Cascade Model (ICM) by use dataset (network): page facebook, this network depends on its structure (size, type, diameter, density, components) and the type of the relationships (explicit). Networks metrics and visualization were manipulated by Gephi as well. Ultimately, our experimental results show that the selection of initial set of nodes affects significantly the diffusion process, and (LTM) model gives more nodes active than (ICM) model. en_US
dc.language.iso en en_US
dc.publisher UNIVERSITY’S MOHAMED BOUDIAF OF M’SILA Faculty of Mathematics and computer sciences -DEPARTMENT: Computer Science - BRANCH: Computer Science OPTION: SIGL en_US
dc.subject Social Network Analysis (SNA), information diffusion, influence en_US
dc.title Influence Analysis In Social Nets en_US
dc.type Thesis en_US

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