Spatial Cocoons: Weibo Check-in Records Across 262 Chinese Cities

Large-scale Weibo check-in records from 505,005 urban places across 262 Chinese cities, used to investigate spatial cocoons and confirmation bias in physical space. The dataset was authored by Haoran Ma and last updated on May 13, 2026. It suggests a universal behavioral mechanism leading to the contraction of effective activity spaces.

Use Cases

• Analyze urban place exclusivity based on check-in patterns across cities.
• Model the contraction of effective activity spaces based on the described behavioral mechanism.
• Study the impact of digital information guidance on anchoring activities to symbolic nodes.
• Investigate the potential for urban serendipity through minimal informational perturbations.

Strengths

• Covers 505,005 distinct urban places.
• Includes data from 262 Chinese cities.
• Released under a CC-BY-4.0 license for open use.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely collected from Weibo (Chinese version of X) check-in records.

Freshness

Last updated 2026-05-13 03:49:26; freshness should be verified.

Geography

262 Chinese cities