In the realm of sociophysics, the exploration of opinion formation models offers a unique lens through which to view societal responses to various stimuli, such as political issues and innovation adoption. These models, grounded in statistical physics, provide critical quantitative insights that enhance our understanding of the complex and dynamic nature of social systems. By mimicking these systems through microscopic models, researchers can investigate the inherent dynamics that govern societal behaviors. Moreover, the diversity in critical behavior observed across different models underscores their theoretical significance.
This Research Topic aims to delve deeper into the mechanisms of human interactions within society by examining various models of opinion formation and their dynamics. Through this investigation, we seek to uncover the processes through which consensus is achieved, where a majority of similar perspectives emerge from the aggregation of individual opinions. Whether these opinions are represented as discrete or continuous variables, understanding their evolution—spontaneous or influenced by external factors—is key to deciphering the patterns of consensus formation.
To gather further insights into this complex interaction scenario, we welcome articles addressing, but not limited to, the following themes:
- Complex Systems
- Opinion Dynamics
- Complex Networks
- Consensus Formation
- Social Entropy
These themes will collectively contribute to a richer understanding of opinion dynamics and the theoretical frameworks that can be applied to various social phenomena.
Keywords: Complex networks, Consensus, Sociophysics, Phase Transition, Critical Phenomena, Monte Carlo Simulation
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
