Rodrigo Augusto Igawa
Papers
2
Total Citations
96
H-Index
2
About
Rodrigo Augusto Igawa is a leading researcher in the computational detection of automated and malicious behavior within Online Social Networks (OSNs). His work focuses on the critical challenge of distinguishing between human users, legitimate bots, and malicious bots—a task essential for preserving the integrity of digital social spaces. Igawa’s major contributions lie in pioneering the use of wavelet-based signal processing techniques for account classification. His highly cited 2015 paper, "Account classification in online social networks with LBCA and wavelets" (52 citations), introduced a novel framework that analyzes behavioral patterns as signals. He expanded this work in his 2018 study, "Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets" (44 citations), which provided a sophisticated method for triaging user types by examining the temporal dynamics of social interactions. By demonstrating that social behaviors can be effectively modeled as time-series signals, Igawa has provided the cybersecurity and social computing communities with powerful, scalable tools to combat disinformation, spam, and automated manipulation, directly impacting how platforms safeguard their ecosystems.
Research Focus
Key Achievements
Top Papers
- 1Account classification in online social networks with LBCA and wavelets52 citations · 2015
- 2