Measurement and Application of Entropy Production Rate in Human Subject Social Interaction Systems
Bin Xu, Zhijian Wang

TL;DR
This paper explores how to measure and apply entropy production rate (EPR) in human social interactions, demonstrating its utility in testing models, analyzing market cycles, and understanding motion dynamics.
Contribution
It introduces practical methods for measuring EPR in social systems and applies it to test economic models, identify market cycles, and analyze motion data.
Findings
EPR can be practically measured in human social systems.
EPR effectively tests minimax randomization models.
EPR helps identify Edgeworth price cycles.
Abstract
This paper illustrates the measurement and the applications of the observable, entropy production rate (EPR), in human subject social interaction systems. To this end, we show (1) how to test the minimax randomization model with experimental economics' 22 games data and with the Wimbledon Tennis data; (2) how to identify the Edgeworth price cycle in experimental market data; and (3) the relationship within EPR and motion in data. As a result, in human subject social interaction systems, EPR can be measured practically and can be employed to test models and to search for facts efficiently.
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Taxonomy
TopicsInnovation Diffusion and Forecasting · Complex Systems and Time Series Analysis · Game Theory and Applications
