Andrea Tagarelli

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About

Andrea Tagarelli is a leading researcher in the fields of network science, social media analysis, and data mining, with a particular focus on the detection and characterization of malicious online behavior. His most notable contribution is the development of machine learning frameworks for identifying social bots, as exemplified by his seminal work "Learning to Rank Social Bots" (2018, 12 citations), which pioneered a ranking-based approach to distinguish automated accounts from human users. Tagarelli’s research has been instrumental in understanding how bots manipulate information ecosystems, influencing real-world events. Beyond bot detection, he has made significant advances in community discovery, graph mining, and explainable AI for complex networks. His work consistently bridges theoretical rigor with practical impact, earning him recognition as a key figure in computational social science. With a publication record that includes highly cited papers in top venues like ACM SIGKDD and IEEE TKDE, Tagarelli’s research continues to shape how we detect and mitigate online manipulation, making his profile essential reading for students and researchers interested in the intersection of data science and societal challenges.