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Physics > Physics and Society

Title: The Anatomy Spread of Online Opinion Polarization: The Pivotal Role of Super-Spreaders in Social Networks

Abstract: 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.
Comments: Detection Method for Social Subsets Consisting of Anti-Network Construction for Unilateral Preference Behavior on Directed Temporal Networks(2023)
Subjects: Physics and Society (physics.soc-ph); Artificial Intelligence (cs.AI)
Cite as: arXiv:2401.01349 [physics.soc-ph]
  (or arXiv:2401.01349v2 [physics.soc-ph] for this version)

Submission history

From: Yasuko Kawahata [view email]
[v1] Mon, 27 Nov 2023 20:29:50 GMT (4884kb)
[v2] Fri, 19 Apr 2024 14:35:41 GMT (4912kb)

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