| Literature DB >> 33733162 |
Laura Burbach1, Patrick Halbach1, Martina Ziefle1, André Calero Valdez1.
Abstract
Today the majority of people uses online social networks not only to stay in contact with friends, but also to find information about relevant topics, or to spread information. While a lot of research has been conducted into opinion formation, only little is known about which factors influence whether a user of online social networks disseminates information or not. To answer this question, we created an agent-based model and simulated message spreading in social networks using a latent-process model. In our model, we varied four different content types, six different network types, and we varied between a model that includes a personality model for its agents and one that did not. We found that the network type has only a weak influence on the distribution of content, whereas the message type has a clear influence on how many users receive a message. Using a personality model helped achieved more realistic outcomes.Entities:
Keywords: latent process model; message spread; network types; opinion formation; personality traits; social networks
Year: 2020 PMID: 33733162 PMCID: PMC7861255 DOI: 10.3389/frai.2020.00045
Source DB: PubMed Journal: Front Artif Intell ISSN: 2624-8212