… In bounded-confidence models, each individual interacts … attention [35, 2, 8, 76, 59] has
focused on opinion dynamic … The literature on opinion dynamics includes models for influence …

… We discuss both Bayesian and non-Bayesian models of social … have received the bulk of
the attention from the literature: … In both cases our focus will be on interactions in the context of …

… , require beyond these conventional models due to ubiquitous … with special attention on the
effect of time-varying interaction … on the case where the interaction topology is static. In the …

… of social networks and processes over them, to the attention of … confidence models, where
the interaction graph is opinion-… Many models of opinion dynamics (eg time-varying extensions …

… We review a general class of models for self-organized … is true: when the dynamics is driven
by local interactions, it is … descriptions of self-organized opinion dynamics and flocking. The …

… Until recently little attention has been devoted to the higher-… modeling capacities and help
us understand and predict their … on higher-order dynamical systems and dynamical topology, …

… The results are presented in Table 2, and the interaction effects between c and the other … ,
and opinion dynamics. In his work he combines methods of computer simulation and empirical …

… The latter models also introduce the notion of bounded … of the interaction network to adapt
to the changes in the opinion of … Within the framework of opinion dynamics with bounded confi…

… novel topological recurrent neural network, namely Topo-LSTM, for modeling dynamic DAGs.
… better capture the complex diffusion dynamics and interactions among active nodes, which …

… models devoted to describing the evolution of interactions … decisions and mechanisms of
opinion dynamics that would co-… Notice how we intentionally restrict our attention to the sub-…