The Anatomy Spread of Online Opinion Polarization: The Pivotal Role of Super-Spreaders in Social Networks
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Abstract (arXiv)
The study investigates the role of 'superspreaders' in shaping opinions within networks, distinguishing three types: A, B, and C. Type A has a significant influence in shaping opinions, Type B acts as a counterbalance to A, and Type C functions like media, providing an objective viewpoint and potentially regulating A and B's influence. The research uses a confidence coefficient and z-score to survey superspreaders' behaviors, with a focus on the conditions affecting group dynamics and opinion formation, including environmental factors and forgetfulness over time. The findings offer insights for improving online communication security and understanding social influence. This paper is partially an attempt to utilize "Generative AI" and was written with educational intent. There are currently no plans for it to become a peer-reviewed paper.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 57 references that are in the map. First posted on arXiv 27 Nov 2023.
Builds on
6 of 57 references.
References · 6
- 2017Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discoverycited by 566
- 2017Wild Patterns: Ten Years After the Rise of Adversarial Machine Learningcited by 411
- 2018Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detectioncited by 121
- 2018Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanshipcited by 34
- 2016Opinion dynamics: models, extensions and external effectscited by 11
- 2018Opinion Dynamics Theory for Analysis of Consensus Formation and Division of Opinion on the Internetcited by 7
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