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- W2095514855 abstract "We present a general approach to study the flooding time (a measure of how fast information spreads) in dynamic graphs (graphs whose topology changes with time according to a random process). We consider arbitrary ergodic Markovian dynamic graph process, that is, processes in which the topology of the graph at time t depends only on its topology at time t-1 and which have a unique stationary distribution. The most well studied models of dynamic graphs are all Markovian and ergodic." @default.
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- W2095514855 date "2012-07-16" @default.
- W2095514855 modified "2023-10-06" @default.
- W2095514855 title "Information spreading in dynamic graphs" @default.
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- W2095514855 doi "https://doi.org/10.1145/2332432.2332439" @default.
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