About: Investigating Key Factors for Social Network Evolution and Opinion Dynamics in an Agent-Based Simulation

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Investigating Key Factors for Social Network Evolution and Opinion Dynamics in an Agent-Based Simulation
Creator	Belavadi, Poornima Burbach, Laura Calero Valdez, André Halbach, Patrick Nakayama, Johannes Plettenberg, Nils Ziefle, Martina
source	PMC
abstract	In recent years social media platforms have experienced increasing attention of researchers due to their capabilities of providing information and spreading opinions of individuals, thus establishing a new environment for opinion formation on a societal level. To gain a better understanding of the occurring opinion dynamics, the interactions between the users and the content that has been shared in those environments has to be investigated. With our work, we want to shed light on the part played by the underlying network structure as information spread relies directly on it and every user of social media is affected by it. Therefore, we analyzed the role of network properties and dealing with friendships in such networks using an agent-based model. Our results reveal the capability of such models for investigating the influence of these factors on opinion dynamics and encourage further investigation in this field of research.
has issue date	2020-05-12(xsd:dateTime)
bibo:doi	10.1007/978-3-030-49907-5_2
has license	no-cc
sha1sum (hex)	c02cdb168cb0c621fe3161e79fe9310de3953a32
schema:url	https://doi.org/10.1007/978-3-030-49907-5_2
resource representing a document's title	Investigating Key Factors for Social Network Evolution and Opinion Dynamics in an Agent-Based Simulation
has PubMed Central identifier	PMC7347410
schema:publication	Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management
resource representing a document's body	covid:c02cdb168cb0c621fe3161e79fe9310de3953a32#body_text
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