
In this paper, we propose a novel control approach for opinion dynamics on evolving networks. The controls modify the strength of connections in the network, rather than influencing opinions directly, with the overall goal of steering the population toward a target opinion. This requires that the social network remains sufficiently connected, the population does not break into separate opinion clusters, and that the target opinion remains accessible. We present several approaches to address these challenges, considering questions of controllability, instantaneous control, and optimal control. Each of these approaches provides a different view on the complex relationship between opinion and network dynamics and raises interesting questions for future research.
Physics - Physics and Society, Dynamical systems and ergodic theory, Optimization and Control (math.OC), FOS: Mathematics, FOS: Physical sciences, Physics and Society (physics.soc-ph), Dynamical Systems (math.DS), Mathematics - Dynamical Systems, Mathematics - Optimization and Control, Ordinary differential equations
Physics - Physics and Society, Dynamical systems and ergodic theory, Optimization and Control (math.OC), FOS: Mathematics, FOS: Physical sciences, Physics and Society (physics.soc-ph), Dynamical Systems (math.DS), Mathematics - Dynamical Systems, Mathematics - Optimization and Control, Ordinary differential equations
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
