Data Sheet 1_Survey-calibrated agent-based modeling of peer targeting for promoting physic

Weixuan Long published a modeling study on figshare in June 2026. It combines cross-sectional survey data from 1,692 middle-school students with an agent-based model to evaluate peer-targeting strategies for promoting physical activity. The dataset is small at 383.5 KB and is shared under a CC-BY-4.0 license.

Use Cases

• Compare the effectiveness of centrality-based peer-targeting strategies based on the described degree-, betweenness-, and closeness-centrality rules.
• Model peer-influence diffusion processes for physical activity promotion based on the Susceptible–Infected–Recovered (SIR) framework described.
• Analyze the relationship between friendship network structure and persistent low activity levels based on the finding that over 60% of low-active adolescents had below-average friendship degrees.
• Parameterize agent-based models with survey-calibrated distributions of physical activity, friendship ties, and co-activity probabilities.

Strengths

• The model is parameterized with survey data from 1,692 middle-school students, providing a realistic empirical foundation.
• The study evaluates four distinct peer-targeting strategies (random, degree-, betweenness-, and closeness-centrality), allowing for comparative analysis.
• The work is openly licensed under CC-BY-4.0, facilitating reuse and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The data is specific to a single study of middle-school students, which may limit generalizability to other populations or contexts.

Provenance

Source

Weixuan Long

Collection Method

Questionnaire data from 1,692 middle-school students used to parameterize an agent-based model.

Freshness

Last updated 2026-06-04 05:19:23; freshness should be verified.