Escape from fraught states in a coordination game

Area of Science:

• Social network analysis
• Behavioral economics
• Computational social science

Background:

• Social dilemmas can lead to group-level coordination failures.
• Hierarchical network structures may exacerbate these failures.
• Understanding such dynamics is crucial for social cohesion.

Purpose of the Study:

• To investigate a social network dilemma termed "fraughtness" using a behavioral coordination game.
• To analyze the conditions under which groups become stuck in fraughtness.
• To explore methods for resolving fraughtness.

Main Methods:

• A behavioral coordination game involving seven human players and agent-based models.
• Players adjusted sliders on a network with varying topologies.
• Feedback mechanisms focused on local agreement and neighbor consensus.

Main Results:

• Groups in hierarchical networks frequently entered fraughtness, a state of persistent disagreement.
• Despite local positive feedback, groups often found ways to escape fraughtness.
• Fraughtness was observed to be linked with successful structure formation.

Conclusions:

• Fraughtness is a significant social network dilemma, analogous to polarization and echo chambers.
• While problematic, fraughtness is intrinsically linked to structure formation.
• Effective strategies should focus on resolving fraughtness rather than eliminating it.