His main research concerns Social media, Internet privacy, Misinformation, Microblogging and Data science. His Social media study integrates concerns from other disciplines, such as Structure, Popularity and Information retrieval. His study in Structure is interdisciplinary in nature, drawing from both Competition and Social network.
His research in Popularity intersects with topics in The Internet and Web space. His Internet privacy research is multidisciplinary, incorporating elements of Probability and statistics, Anomaly detection and Intrusion detection system. His work deals with themes such as Latent semantic analysis and Metadata, which intersect with Data science.
Alessandro Flammini focuses on Social media, Internet privacy, Misinformation, Data science and Popularity. His Social media study is focused on World Wide Web in general. Many of his studies on Internet privacy involve topics that are commonly interrelated, such as Social influence.
His Misinformation research is multidisciplinary, relying on both Regression analysis, Fact checking, Fake news and Vulnerability. Alessandro Flammini has researched Data science in several fields, including Search engine and Citation. His Popularity research includes elements of Information flow and The Internet, Web traffic.
Alessandro Flammini focuses on Social media, Internet privacy, Misinformation, Data science and Disinformation. He interconnects F1 score and Training set in the investigation of issues within Social media. His research on Internet privacy also deals with topics like
Alessandro Flammini studied Misinformation and News sharing that intersect with Correlation. Alessandro Flammini combines subjects such as Cryptocurrency and Information warfare with his study of Data science. His research integrates issues of Narrative, Web traffic and Media studies in his study of Disinformation.
Alessandro Flammini mainly focuses on Social media, Internet privacy, Training set, Data science and Social network. His Social media research incorporates elements of Cryptocurrency and Construct. The various areas that Alessandro Flammini examines in his Internet privacy study include Social influence, Misinformation, Conversation and Communication in small groups.
His biological study spans a wide range of topics, including Interpretability and Relevance. His Data science study combines topics from a wide range of disciplines, such as Information warfare, Search engine, Disinformation, Web traffic and Popularity. He has included themes like Simple, Echo and Information sharing in his Social network study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Political Polarization on Twitter
Michael D. Conover;Jacob Ratkiewicz;Matthew R. Francisco;Bruno Gonçalves.
international conference on weblogs and social media (2011)
The rise of social bots
Emilio Ferrara;Onur Varol;Clayton Davis;Filippo Menczer.
Communications of The ACM (2016)
ERRATUM: Competition among memes in a world with limited attention
L. Weng;A. Flammini;A. Vespignani;F. Menczer.
Scientific Reports (2013)
Detecting rich-club ordering in complex networks
V. Colizza;A. Flammini;M. A. Serrano;A. Vespignani.
Nature Physics (2006)
Global protein function prediction from protein-protein interaction networks
Alexei Vazquez;Alessandro Flammini;Amos Maritan;Amos Maritan;Alessandro Vespignani.
Nature Biotechnology (2003)
Detecting and Tracking Political Abuse in Social Media
Jacob Ratkiewicz;Michael D. Conover;Mark Meiss;Bruno Goncalves.
international conference on weblogs and social media (2011)
Predicting the Political Alignment of Twitter Users
Michael D. Conover;Bruno Goncalves;Jacob Ratkiewicz;Alessandro Flammini.
privacy security risk and trust (2011)
Competition among memes in a world with limited attention
L. Weng;A. Flammini;A. Vespignani;A. Vespignani;F. Menczer.
Scientific Reports (2012)
Modeling of Protein Interaction Networks
Alexei Vázquez;Alessandro Flammini;Amos Maritan;Alessandro Vespignani.
Complexus (2003)
Online Human-Bot Interactions: Detection, Estimation, and Characterization
Onur Varol;Emilio Ferrara;Clayton A. Davis;Filippo Menczer.
arXiv: Social and Information Networks (2017)
Indiana University
University of Southern California
University of Padua
Northeastern University
Indiana University
Indiana University
École Polytechnique Fédérale de Lausanne
Spanish National Research Council
University of Southern California
University of Michigan–Ann Arbor
Profile was last updated on December 6th, 2021.
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