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Generating co-evolutionary polarized opinion networks
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this thesis we present a co-evolutionary opinion network model, which aim to efficiently represent an online social network, with each person represented as a node attributed with an opinion, and the relations between people by edges. For this, we needed to classify the existing models through the prism of co-evolution, i.e. how the topology and the state of the network interact between each other, so one can find a model of classification for network models. This model will be compared under certain aspects to empirical data, as well as previous works. We show the emergence of a polarization of the opinions in the network, which appears only under certain conditions : a strong homophily between nodes, as well as a co-evolutionary behavior, i.e. a strong interaction between the topology and the state, of the model.

Place, publisher, year, edition, pages
2016. , 72 p.
Series
IT, 16077
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-307147OAI: oai:DiVA.org:uu-307147DiVA: diva2:1045448
Educational program
Master Programme in Computer Science
Supervisors
Examiners
Available from: 2016-11-09 Created: 2016-11-09 Last updated: 2016-11-09Bibliographically approved

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