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原文連結
論文資訊
- 類型：已發表論文
- 日期：2025
摘要
We study the spreading dynamics of content on 網絡s. To do this, we use a model in which content spreads through a bounded-confidence mechanism. In a bounded-confidence model (BCM) of opinion dynamics, the 智能體s of a 網絡 have continuous-valued opinions, which they adjust when they interact with 智能體s whose opinions are sufficiently close to theirs. Our content-spreading model, which one can also interpret as an independent-cascade model, introduces a twist into BCMs by using bounded confidence for the content spread itself. We define an analog of the basic reproduction number from 疾病 dynamics that we call an opinion reproduction number. A critical value of the opinion reproduction number indicates whether or not there is an "infodemic" (i.e., a large content-spreading cascade) of content that r
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