EconPapers    
Economics at your fingertips  
 

Polarization in networks: Identification–alienation framework

Kenan Huremović and Ali Ozkes

Journal of Mathematical Economics, 2022, vol. 102, issue C

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.

Keywords: Measurement; Networks; Polarization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304406822000696
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Polarization in networks: Identification–alienation framework (2022)
Working Paper: Polarization in Networks: Identification-alienation Framework (2021) Downloads
Working Paper: Polarization in Networks: Identification-alienation Framework (2020) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:mateco:v:102:y:2022:i:c:s0304406822000696

DOI: 10.1016/j.jmateco.2022.102732

Access Statistics for this article

Journal of Mathematical Economics is currently edited by Atsushi (A.) Kajii

More articles in Journal of Mathematical Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-31
Handle: RePEc:eee:mateco:v:102:y:2022:i:c:s0304406822000696