Rumi Ghosh

Papers

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About

Rumi Ghosh is a leading researcher in computational social science, with a focus on understanding human behavior and information diffusion through social media platforms. Her work centers on characterizing user activities on Twitter, particularly the phenomenon of retweeting, which she analyzes using entropy-based classification methods. In her highly cited 2011 paper, "Entropy-based Classification of 'Retweeting' Activity on Twitter" (61 citations), Ghosh developed novel techniques to distinguish between diverse uses of Twitter—from information dissemination and marketing to political organizing, propaganda, and spam. This foundational contribution provides a systematic framework for categorizing user-generated content, enabling researchers to better understand the complex dynamics of online communication and influence. Ghosh's research has significant implications for fields ranging from political science and marketing to cybersecurity and public health. By quantifying the entropy of retweeting patterns, she has helped advance the computational tools needed to analyze large-scale social media data, making her work essential reading for scholars studying digital behavior, network analysis, and the spread of information in online ecosystems.