Published November 7, 2023
| Version v1
Dataset
Open
Data set for analyzing scaling and criticality in large-scale social systems regulated by global factors
Description
- Research information:
- Title: Scaling and criticality in large-scale social systems regulated by global factors
- Abstract: How do individuals in large-scale social systems behave in response to global factors and what kinds of macroscopic dynamics will emerge as consequences? Here we conduct a naturalistic observation of the daily consumer behaviours of 190,000 individuals from January 2018 to December 2022, extracting the long-term consumption dynamics of about 6000 types of commodities from approximately 2.2 million purchase orders. The consumption dynamics is subdivided into trend, seasonal, and random components, whose dynamic processes across scales are analyzed by a renormalization group. we discover that the coronavirus pandemic, an exogenetic factor acting on the social system, regulates the scaling and criticality of consumption dynamics. On a large time scale, the long-term dynamics of the system, regardless of arising from trend, seasonal, or random individual behaviours, is pushed towards a boundary between independent and correlated phases as the pandemic erupts. On a smaller time scale, short-term consumption dynamics exhibits more diversities in response to the pandemic. While the trend and random behaviours of individuals are driven to quasi-criticality and exhibit scale-invariance as the pandemic breaks out, seasonal behaviours are more robust against regulations. Overall, our study provides insights into the regulation mechanisms of global factors on the dynamics of large-scale and heterogeneous social systems.
- Data set description:
- RawData: A csv file for approximately 2.2 million times purchase orders made by around 190,000 individuals before, during, and after the outbreak of coronavirus disease 2019 (COVID-19).
- ConsumptionDynamics: A csv file that describes the daily evolution of the consumption frequencies for approximately 6,000 types of commodities. Each row denotes an extracted time series that measures the number of times a commodity is purchased each day. Each column denotes a single day.
- Note that the names of commodities in current data set are writen in Chinese.
Files
ConsumptionDynamics.zip
Files
(145.9 MB)
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