Generating co-evolutionary polarized opinion networks
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
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.
Engineering and Technology
IdentifiersURN: urn:nbn:se:uu:diva-307147OAI: oai:DiVA.org:uu-307147DiVA: diva2:1045448
Master Programme in Computer Science
Magnani, MatteoDaniels, Mats