115 citations · 211 across the 7 of their papers we have counts for
7 papers
Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election
Matteo Serafino, Zhenkun Zhou, Jose S. Andrade +2
The ongoing debate surrounding the impact of the Internet Research Agency s (IRA) social media campaign during the 2016 U.S. presidential election has largely overshadowed the invo…
Fibration symmetries and cluster synchronization in the Caenorhabditis elegans connectome
Bryant Avila, Pedro Augusto, Manuel Zimmer +2
Capturing how the Caenorhabditis elegans connectome structure gives rise to its neuron functionality remains unclear. It is through fiber symmetries found in its neuronal connectiv…
Shifting Polarization and Twitter News Influencers between two U.S. Presidential Elections
James Flamino, Alessandro Galezzi, Stuart Feldman +7
Social media are decentralized, interactive, and transformative, empowering users to produce and spread information to influence others. This has changed the dynamics of political…
Why polls fail to predict elections
Zhenkun Zhou, Matteo Serafino, Luciano Cohan +2
In the past decade we have witnessed the failure of traditional polls in predicting presidential election outcomes across the world. To understand the reasons behind these failures…
Community Detection in the Hyperbolic Space
Matteo Bruno, Sandro Ferreira Sousa, Furkan Gursoy +4
Embedding a network in hyperbolic space can reveal interesting features for the network structure, especially in terms of self-similar characteristics. The hidden metric space, whi…
True scale-free networks hidden by finite size effects
Matteo Serafino, Giulio Cimini, Amos Maritan +4
We analyze about two hundred naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free struc…
Statistical validation of financial time series via visibility graph
Matteo Serafino, Andrea Gabrielli, Guido Caldarelli +1
Statistical physics of complex systems exploits network theory not only to model, but also to effectively extract information from many dynamical real-world systems. A pivotal case…