When new information or ideas are introduced, only a portion of the "adopter group" within the entire network responds (gated by interest, trust, cultural context, etc.). On social media, this is measurable through retweet graphs, cascade trees, and temporal activation traces. When we make an analogy between social networks, circuits, and brain neuronal networks, we observe similar patterns. As Neurological Localization appears, neural networks' circuits are modularized into functional subgraph units, while social networks are modularized into topic communities or echo chambers. From an Information Theory perspective, the activation contribution of each node can be measured using Mutual Information.
Social Knowledge Diffusion
Creator
Creator
Seonglae ChoCreated
Created
2025 Oct 21 13:54Editor
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Seonglae ChoEdited
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2025 Oct 22 16:32Done
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