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Twitter data

Main projects: �1 Dataset for Retweet & Mention networks

1 Dataset for User – News bipartite networks

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Retweet & Mention network

Vicentin, a major Argentine soy exporter, defaulted a huge debt in 2019 and start bankruptcy proceedings. There was a political dispute about whether the state should nationalize the company or let it go bankrupt.

Guiding Questions

Create and plot the retweet and the mention networks
Characterize both of them using different network metrics
Analyze the community structure of both networks
Implement different kind of filters in order to analyze different network structures
Identify and characterize clusters
Identify key role players in the observed structure
Some ideas from:

Cita: Conover, M., Ratkiewicz, J., Francisco, M., Goncalves, B., Menczer, F., & Flammini, A. (2011).

Political Polarization on Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 5(1), 89-96.

https://doi.org/10.1609/icwsm.v5i1.14126

The users-news network

Argentinian dataset from political active users in the period previous to national presidential elections in 2019
Data: Twitter dataset from 2019

“News-sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization”. Tomas Cicchini, Sofia Morena del Pozo, Enzo Tagliazucchi y Pablo Balenzuela. EPJ Data Science 11, 48 (2022). https://doi.org/10.1140/epjds/s13688-022-00360-8

Guiding Questions

YoutTube data

Project: The video networks co-commented by users

Data from main US media outlets

Dataset with videos from 18 US media outlets (5 conservative, 4 neutrals and 9 liberals)
3224 videos with comments and metrics (# of likes, # of views, # of comments, duration)
Proposal: Analyze the co-commented video network:

Guiding Questions