Network Dynamics

Study of how information, beliefs, and behaviours evolve and propagate through interconnected systems. Network dynamics capture the interplay between individual decision-making and structural constraints imposed by network topology—how clustering, degree distribution, and community structure shape the speed and extent of information diffusion.

Key papers

• How neighbourhood ideology shapes misinformation belief in densely tied social networks — Shows that network clustering amplifies the influence of neighbours' ideological intensity on misinformation belief, emerging from topology alone
• Modeling Duelling Contagions of True and False Information in the Face of Inherent — Models competing information cascades and how network structure interacts with cognitive biases

Related topics

• Social networks and online communities — structure and composition of online networks
• Cascade Analysis — characterizing information cascade trajectories
• Propagation Models — computational models of information spread
• Misinformation Propagation — dynamics specific to false-claim spread