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Diffusion of innovations on random networks: Understanding the chasm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5385 LNCS 178-185
DOI: 10.1007/978-3-540-92185-1_25
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Abstract

We analyze diffusion models on sparse random networks with neighborhood effects. We show how large cascades can be triggered by small initial shocks and compute critical parameters: contagion threshold for a random network, phase transition in the size of the cascade. © 2008 Springer Berlin Heidelberg.

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Lelarge, M. (2008). Diffusion of innovations on random networks: Understanding the chasm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5385 LNCS, pp. 178–185). https://doi.org/10.1007/978-3-540-92185-1_25

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