Simulating context-driven activity cascades in online social networks on the google exacycle platform

In this work a micro-scale generative model for simulating context-driven information cascades in online social networks is presented and analyzed. Activity cascades on online social networks are explained by the dynamic variation in the spectral radius of the sociologically derived local influence matrix. A stochastic discrete-event agent-based simulator working with synthesized graph topologies, that emulates people's behavior on online social networks is used in conjunction with time-varying local models to generate macro-level activity cascades.

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