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Descripción
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| Political polarization is a social phenomenon that has several consequences in peoples' lives and whose nature is not completely understood. We say that a population is perfectly polarized when divided in two groups of the same size and opposite opinions. Here, 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. We demonstrate that the polarization in social media emerges from the influence of opinion leaders that dominate interactions. | |
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Internacional
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No |
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Nombre congreso
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XX Congreso de Física Estadística (FisEs15) [http://fises15.gefenol.es/] |
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Tipo de participación
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970 |
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Lugar del congreso
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Badajoz (España) |
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Revisores
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Si |
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ISBN o ISSN
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CDP08UPM |
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DOI
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Fecha inicio congreso
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05/10/2015 |
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Fecha fin congreso
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07/10/2015 |
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Desde la página
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7 |
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Hasta la página
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7 |
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Título de las actas
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Actas del congreso [http://fises15.gefenol.es/static/files/Libro_Abstracts_FisEs15.pdf] |