Consensus, Cohesion and Connectivity

TL;DR

This paper explores how the algebraic connectivity of social networks influences the speed of consensus formation and group cohesion, supported by experimental data confirming theoretical predictions.

Contribution

It demonstrates that algebraic connectivity predicts consensus speed and cohesion in social groups, validated through experimental re-analysis.

Findings

Algebraic connectivity predicts consensus speed.

Higher connectivity correlates with greater cohesion.

Experimental data confirms theoretical predictions.

Abstract

Social life clusters into groups held together by ties that also transmit information. When collective problems occur, group members use their ties to discuss what to do and to establish an agreement, to be reached quick enough to prevent discounting the value of the group decision. The speed at which a group reaches consensus can be predicted by the algebraic connectivity of the network, which also imposes a lower bound on the group's cohesion. This specific measure of connectivity is put to the test by re-using experimental data, which confirm the prediction.