Transnational Networks and Interstate Conflict: High-Resolution Event Data

Brandon Kinne (International Organization Journal) developed this dataset to examine the relationship between government support for foreign nonstate actors and interstate competition. It integrates high-resolution event data on verbal and material conflict with network models of ties between states and groups like rebels, militias, and terrorist organizations.

Use Cases

• Predicting 'material conflict' probability based on the 'size and structure' of a state's transnational network
• Analyzing the escalation from 'verbal conflict' to physical aggression when states support 'rebel groups'
• Comparing the 'bargaining leverage' of states with varying levels of conventional military strength and nonstate ties

Strengths

• Includes high-resolution event data for both verbal and material conflict
• Categorizes nonstate actors into four distinct types: terrorists, rebels, militias, and civilian groups
• Employs network models to capture the co-evolution of interstate ties and conflict

Limitations

• Potential reporting bias inherent in high-resolution event data sourced from media
• Lack of explicit column definitions in the primary metadata summary

Provenance

Source

Brandon Kinne, International Organization (IO) Journal Dataverse

Collection Method

High-resolution event data collection and network modeling

Freshness

Last updated March 2026.

Geography

Global