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Discovering communities by information diffusion
2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011Discovering underlying communities in networks is an important task in network analysis. In the last decade, a large variety of algorithms have been proposed. However, most of them require global information or a centralized control. Those algorithms are infeasible in large-scale real networks due to computation and accessibility.
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Information diffusion in populations with immigration
Information Sciences, 1979Abstract A deterministic model for the diffusion of information through a population in which there is continuous replacement by immigration is formulated and studied. Criteria are obtained under which the information persists in the population. If the immigration rate is constant, then the asymptotic size of the informed population is determined ...
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Diffusion Models in Vision: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Mubarak Ali Shah +2 more
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Molecular Simulations of Zeolites: Adsorption, Diffusion, and Shape Selectivity
Chemical Reviews, 2008Berend Smit
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