Dynamical systems on networks
Traditionally, much of the study of networks has focused on structural features. Indeed,
mathematical subjects such as graph theory have a rich history of investigating network …
mathematical subjects such as graph theory have a rich history of investigating network …
An adaptive bounded-confidence model of opinion dynamics on networks
U Kan, M Feng, MA Porter - Journal of Complex Networks, 2023 - ieeexplore.ieee.org
Individuals who interact with each other in social networks often exchange ideas and
influence each other's opinions. A popular approach to study the spread of opinions on …
influence each other's opinions. A popular approach to study the spread of opinions on …
Nonlinearity+ networks: A 2020 vision
MA Porter - Emerging frontiers in nonlinear science, 2020 - Springer
I briefly survey several fascinating topics in networks and nonlinearity. I highlight a few
methods and ideas, including several of personal interest, that I anticipate to be especially …
methods and ideas, including several of personal interest, that I anticipate to be especially …
Collective dynamics of belief evolution under cognitive coherence and social conformity
Human history has been marked by social instability and conflict, often driven by the
irreconcilability of opposing sets of beliefs, ideologies, and religious dogmas. The dynamics …
irreconcilability of opposing sets of beliefs, ideologies, and religious dogmas. The dynamics …
Evolving voter model on dense random graphs
In this paper, we examine a variant of the voter model on a dynamically changing network
where agents have the option of changing their friends rather than changing their opinions …
where agents have the option of changing their friends rather than changing their opinions …
Noise-based synchronization of bounded confidence opinion dynamics in heterogeneous time-varying communication networks
A fundamental question that arises in the analysis of the noise-based synchronization of
opinion dynamics with bounded confidence (BC) is what opinion structures can be …
opinion dynamics with bounded confidence (BC) is what opinion structures can be …
Noise in coevolving networks
Coupling dynamics of the states of the nodes of a network to the dynamics of the network
topology leads to generic absorbing and fragmentation transitions. The coevolving voter …
topology leads to generic absorbing and fragmentation transitions. The coevolving voter …
Spontaneous symmetry breaking of active phase in coevolving nonlinear voter model
We study an adaptive network model driven by a nonlinear voter dynamics. Each node in
the network represents a voter and can be in one of two states that correspond to different …
the network represents a voter and can be in one of two states that correspond to different …
The interplay of self-reflection, social interaction and random events in the dynamics of opinion flow in two-party democracies
K Lichtenegger, T Hadzibeganovic - International Journal of Modern …, 2016 - World Scientific
We propose a continuous process opinion formation model to study the dynamics of a multi-
level relationship between voters, political parties, and facts in two-party democratic …
level relationship between voters, political parties, and facts in two-party democratic …
Adaptive network models of collective decision making in swarming systems
We consider a class of adaptive network models where links can only be created or deleted
between nodes in different states. These models provide an approximate description of a set …
between nodes in different states. These models provide an approximate description of a set …