Tawan Surachawala

Papers

Total Citations

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About

Tawan Surachawala is a researcher whose work lies at the intersection of social media analytics and information science. His most influential contribution, the 2011 paper "Entropy-based Classification of 'Retweeting' Activity on Twitter," has garnered 61 citations and remains a foundational reference in the field. In this work, Surachawala introduced a novel entropy-based framework to classify the diverse motivations behind retweeting—ranging from genuine information dissemination to propaganda and spamming. This approach provided a principled, data-driven method for distinguishing between different types of user-generated content, addressing the challenging task of characterizing activities on platforms like Twitter. By leveraging entropy as a key metric, his research offered a more nuanced understanding of how information spreads and is categorized in social networks. Surachawala's contributions have been particularly valuable for researchers studying online behavior, misinformation, and the structural dynamics of social media. His work continues to inform studies on content classification and the automated detection of malicious or manipulative activities on digital platforms.