Corrado Monti

Learning Opinion Dynamics

Corrado Monti, Gianmarco De Francisci Morales, and Francesco Bonchi. “Learning Opinion Dynamics From Social Traces” In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020). ACM, 2020.

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Roots of Trumpism

Massachs, Joan, Corrado Monti, Gianmarco De Francisci Morales, and Francesco Bonchi. “Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit.” In Proceedings of the 12th ACM Conference on Web Science. ACM, 2020.

GitHub

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Interest-Driven Information Cascades

Federico Cinus, Francesco Bonchi, Corrado Monti, and André Panisson. “Generating Realistic Interest-Driven Information Cascades.” In International AAAI Conference on Weblogs and Social Media (ICWSM). AAAI, 2020.

Social classes and Italian elections

Italian, not peer-reviewed.

Corrado Monti. “Classi Sociali Nelle Elezioni 2018 e 2019: Un’analisi Bayesiana Del Voto.” Centro Studi Argo, September 2019.

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Latent interactions in large graphs

Included in my PhD thesis.

Corrado Monti and Paolo Boldi. “Estimating Latent Feature-Feature Interactions in Large Feature-Rich Graphs.” Internet Mathematics, 2017.

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Cleansing Wikipedia Categories

Included in my PhD thesis.

Paolo Boldi and Corrado Monti. “Cleansing Wikipedia Categories Using Centrality.” In Proceedings of the 25th International Conference Companion on World Wide Web, 969–74, 2016.

Github

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Latent Categories for Unexpected Relations

Included in my PhD thesis.

Paolo Boldi and Corrado Monti. “Learning Latent Category Matrix to Find Unexpected Relations in Wikipedia.” In Proceedings of the 8th ACM Conference on Web Science, 218–22, 2016.

Github

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A network model with latent attributes

Included in my PhD thesis.

Paolo Boldi, Irene Crimaldi, and Corrado Monti. “A Network Model Characterized by a Latent Attribute Structure with Competition.” Information Sciences 354 (2016): 236–56.

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Recommending Music through Viscous Democracy

Paolo Boldi, Corrado Monti, Massimo Santini, and Sebastiano Vigna. “Liquid FM: Recommending Music through Viscous Democracy.” Italian Information Retrieval Workshop, 2015.

Github

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Political Disaffection from Twitter

Corrado Monti, Alessandro Rozza, Giovanni Zappella, Matteo Zignani, Adam Arvidsson, and Elanor Colleoni. “Modelling Political Disaffection from Twitter Data.” In Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, 3, 2013.

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