New Topical Collection "Social Sciences"
Dear Colleagues,
Entropy is one of the most important concepts arising in the evolution of physics and information theory. During his conceptual and theoretical development, it has greatly influenced different fields of science, helping to gain a better understanding of macroscopic and universal phenomena, among others.
During the last several decades, a significant number of applications showing the novel use of entropy or information-theoretic concepts have been applied to social sciences. This increasing interdisciplinary effort is obtaining significant new results with impacts in different social systems arenas, like economics, public policy, epidemic control, energy use, etc.
This collection aims to provide a specific meeting point between concepts, methods, and applications coming from entropy theory and social sciences. It is open to original research and review articles on specific social science topics of interest, which include (but are not limited to):
- Network theory;
- Nonlinear dynamics;
- Statistical mechanics;
- Game theory;
- Big data;
- Maximum entropy methods;
- Shannon (and other) entropy functions;
- Self-organization;
- Simplicity and complexity;
- Social networking;
- Artificial intelligence;
- Neural networks;
- Cybernetics;
- Robotics;
- Human–machine interfaces;
- Info-metrics.
Prof. Miguel A. Fuentes
Guest Editor
https://www.mdpi.com/journal/entropy/special_issues/Social_Sciences