Measuring political polarization: Twitter shows the two sides of Venezuela
- 1 March 2015
- journal article
- Published by AIP Publishing in Chaos: An Interdisciplinary Journal of Nonlinear Science
- Vol. 25 (3), 033114
- https://doi.org/10.1063/1.4913758
Abstract
We say that a population is perfectly polarized when divided in two groups of the same size and opposite opinions. In this paper, we propose a methodology to study and measure the emergence of polarization from social interactions. We begin by proposing a model to estimate opinions in which a minority of influential individuals propagate their opinions through a social network. The result of the model is an opinion probability density function. Next, we propose an index to quantify the extent to which the resulting distribution is polarized. Finally, we apply the proposed methodology to a Twitter conversation about the late Venezuelan president, Hugo Chávez, finding a good agreement between our results and offline data. Hence, we show that our methodology can detect different degrees of polarization, depending on the structure of the network.Keywords
Funding Information
- Ministerio de Economía y Competitividad (MTM2012-39101)
This publication has 44 references indexed in Scilit:
- Characterizing and modeling an electoral campaign in the context of Twitter: 2011 Spanish Presidential election as a case studyChaos: An Interdisciplinary Journal of Nonlinear Science, 2012
- Collective Response of Human Populations to Large-Scale EmergenciesPLOS ONE, 2011
- Naïve Learning in Social Networks and the Wisdom of CrowdsAmerican Economic Journal: Microeconomics, 2010
- Computational Social ScienceScience, 2009
- Dynamics of Political PolarizationAmerican Sociological Review, 2007
- Political polarizationProceedings of the National Academy of Sciences of the United States of America, 2007
- Voter model dynamics in complex networks: Role of dimensionality, disorder, and degree distributionPhysical Review E, 2005
- The Law of Group PolarizationJournal of Political Philosophy, 2002
- Reaching a ConsensusJournal of the American Statistical Association, 1974
- A model for spatial conflictBiometrika, 1973