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CANCEL
Open for everyone
research
- 11:30 CRI - room 5.11

Analysing dynamics and stochastic causality of social networks - brainstorming session

Analysing dynamics and stochastic causality of social networks - brainstorming session

The focus of this session will be an open discussion around the topic of promising new approaches to the analysis of the dynamics and stochastic causality of social networks such as Twitter via a mix of machine learning and rewriting theory techniques. We will be joined by Reiko Heckel (University of Leicester), who recently introduced in joint work with Bello Shehu Bello et al. [1-3] rule-based strategies for the analysis of social networks. Some of the computational tools in rewriting theory of use for this type of method will then be highlighted later the same day in the Research Seminar at 11:30 (more info here)

Remote participation possible, join at http://desktop.visio.renater.fr/scopia?ID=728164***2352&autojoin

References:

[1] Reverse Engineering the Behaviour of Twitter Bots, Bello Shehu Bello, Reiko Heckel and Leandro Minku, 2018 https://www.researchgate.net/publication/329390665_Reverse_Engineering_the_Behaviour_of_Twitter_Bots

[2] Social Media Campaign Strategies: Analysis of the 2019 Nigerian Elections, Bello Shehu Bello, Isa Inuwa-Dutse and Reiko Heckel, 2019 https://www.researchgate.net/publication/336813549_Social_Media_Campaign_Strategies_Analysis_of_the_2019_Nigerian_Elections

[3] Analyzing the Behaviour of Twitter Bots in Post Brexit Politics, Bello Shehu Bello and Reiko Heckel, 2019 https://www.researchgate.net/publication/337260998_Analyzing_the_Behaviour_of_Twitter_Bots_in_Post_Brexit_Politics