Social Networks and Opinion Dynamics
Wednesday, June 16 at 09:30am (PDT)Wednesday, June 16 at 05:30pm (BST)Thursday, June 17 01:30am (KST)
Daniel Simonson (University of California, Irvine, USA), Samuel Lopez (University of California, Irvine, USA)
Social Networks and Opinion Dynamics is a thriving field at the intersection of mathematical biology and social sciences, where methods of mathematical biology are used to investigate the structural properties of communities, to gain understanding of patterns of group dynamics, faction formation, convergence, and stability. Studies of networks plays a central role in the mathematical and computational work performed in this area. This field of investigation is important to understand the dynamics of human opinion, including such new important topics as opinion spread on social media, the role of social media influencers, and the spread of false information/misinformation. The advance of communication platforms such as Twitter, Facebook, and others, has provided additional channels for information spread, that allow for higher level of self-organization and community formation. Studying these and related processes requires methods of mathematical biology, ecology, and population dynamics. Methodologically, it has applications areas of more traditional biology, including community structure in bacterial biofilms.