Data Institute Seminar: Methods for the reconstruction of the socio-semantic dynamics of political activist Twitter networks

on the April 9, 2018

From 12:15 to 16:15
David Chavalarias will give a talk on Methods for the reconstruction of the socio-semantic dynamics of political activist Twitter networks. The event will take place on Monday April, 9th from 12:15 in Science Po Grenoble building, amphi F.
David Chavalarias from CNRS Research Director, Centre d’Analyses de Mathématiques Sociales (CAMS), Ecole des Hautes Etudes en Sciences Sociales (EHESS) will give a talk on Methods for the reconstruction of the socio-semantic dynamics of political activist Twitter networks. Then, he will be available for scientific exchanges with the Data Institute researchers.

This seminar is organised by the University of Grenoble Alpes Data Institute’s research group focusing on Data Science, Social Media and Social Sciences. This research initiative aims at using new data sources coming from the web and social media to analyze social structures in innovative ways. Social media have recently become a promising observatory of society that is used by social scientists and computer scientists at the Data Institute to provide a better understanding of the dynamics of opinions, careers and urban structures in contemporary society.


Abstract

In the context of the French presidential elections held in 2017, we developed the “Politoscope”, an open platform for the analysis of political tweets, which was used to collect and analyse almost 60 million Twitter exchanges between more than 2.4 million users who interacted with French political figures. In this paper, we focus on the information revealed by this data, in terms of the development of the political environment during the elections. Among the numerous types of interaction that can be used with Twitter, we focus on that of retweeting. We characterise the socio-semantic networks of the French political environment, and their development over a period of eleven months preceding the presidential election. We show that analysis of retweet graphs can allow accurate and automatic monitoring of the reconfigurations of a multipolar political environment, by characterising the different political communities, their alliance strategies and their semantic particularities.

This is the first study of the socio-semantic trends of a multipolar political environment, and contributes to the emergence of new methods, originating from computational social sciences, which significantly modify research practices in the social sciences, and in political science in particular.
Chavalarias Poster


Published on May 23, 2018

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Amphi F - Science Po Grenoble