Gabriel Marques Tavares
Papers
1
Total Citations
44
H-Index
1
About
Gabriel Marques Tavares is a leading researcher in cybersecurity and social network analysis, with a primary focus on detecting and characterizing automated behavior in online platforms. His most influential work, "Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets" (2018), has garnered 44 citations and represents a significant breakthrough in distinguishing between human users, benign automated accounts, and malicious bots. By applying wavelet-based signal processing techniques to social interaction patterns, Tavares developed a novel methodological framework that captures the temporal dynamics of user behavior, enabling more accurate classification than traditional static approaches. This work addresses the critical challenge of online manipulation, where malicious bots spread disinformation and influence public opinion, while also recognizing the legitimate role of automated accounts in content moderation and customer service. Tavares's research has important implications for platform integrity, election security, and the fight against coordinated inauthentic behavior. His contributions continue to shape how researchers and practitioners approach the growing threat of automated deception in digital spaces.
Research Focus
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Top Papers
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