Clustering Chinese Regional Cultures with Online-gaming Data
Xianwen Wang, Wenli Mao
TL;DR
This paper introduces a novel computational method that uses geotagged online gaming data to effectively cluster Chinese regional cultures, aligning with provincial boundaries and revealing regional variations.
Contribution
The study presents a new approach leveraging online gaming data for cultural clustering, demonstrating its effectiveness in capturing regional cultural distinctions in China.
Findings
Clusters align with provincial boundaries.
North regions show geographical proximity.
South regions exhibit more regional variation.
Abstract
To identify cluster of societies is not easy in subject to the availability of data. In this study, from the prospective of computational social science, we propose a novel method to cluster Chinese regional cultures. Using millions of geotagged online-gaming data of Chinese internet users playing online card and board games with regional features, 336 Chinese cities are grouped into several main clusters. The geographic boundaries of clusters coincide with the boundaries of provincial regions. The north regions in China have more geographical proximity, when regional variations in south regions are more evident.
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Complex Network Analysis Techniques · Diverse Aspects of Tourism Research