Polarization in networks: Identification–alienation framework

B-Tier
Journal: Journal of Mathematical Economics
Year: 2022
Volume: 102
Issue: C

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We introduce a model of polarization in networks as a unifying setting for the measurement of polarization that covers a wide range of applications. We consider a substantially general setup for this purpose: node- and edge-weighted, undirected, and connected networks. We generalize the axiomatic characterization of Esteban and Ray (1994) and show that only a particular instance within this class can be used justifiably to measure polarization in networks.

Technical Details

RePEc Handle
repec:eee:mateco:v:102:y:2022:i:c:s0304406822000696
Journal Field
Theory
Author Count
2
Added to Database
2026-01-26