Job Referral Outcomes from a Social Networks Experiment

An experimental dataset likely examines how social network connections influence job referral outcomes. It is associated with a research paper by Lori G. Beaman and is hosted on the Papers with Code platform. The specific scale, time range, and geographic scope of the underlying experiment are not detailed in the provided metadata.

Use Cases

• Analyzing the correlation between network structure and referral success (inferred from domain, verify after download)
• Training a model to predict referral likelihood based on demographic or network features (inferred from domain, verify after download)
• Studying biases in referral networks and their impact on employment equity (inferred from domain, verify after download)

Strengths

• Published on the Papers with Code platform, linking data to academic research.
• Associated with a named author, Lori G. Beaman, providing academic provenance.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and sample data are unknown, limiting suitability assessment.
• License is listed as 'closed', which may restrict usage.

Provenance

Source

Papers with Code

Collection Method

Likely gathered via a controlled social experiment, though specific methodology is not detailed.