The content discusses the introduction of a new model for the evolvement of narratives and information bubbles on networks. It delves into the structure of directed graphs, roots, and aggregation functions. The paper explores scenarios where roots cooperate to form common opinions and investigates convergence through invariant means. Various mathematical tools from graph theory are utilized to analyze the spreading of information in network structures. The study also presents examples illustrating the impact of different components in the root set on convergence processes.
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arxiv.org
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