At this point, two different stochastic matrices are used to define the evolu- tion of connections in this initial network

Generating Community-Preserving Graph T rajectories via Markov Chains Operationally, we begin by defining a network generated according to a stochastic block model characterized

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Linking Through Time: Memory-Enhanced Community Discovery in Temporal Networks

physics.soc-ph · 2024-02-15 · unverdicted · novelty 6.0

A memory-enhanced modularity lowers the detectability threshold for communities in Markovian temporal networks.

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Linking Through Time: Memory-Enhanced Community Discovery in Temporal Networks physics.soc-ph · 2024-02-15 · unverdicted · none · ref 41
A memory-enhanced modularity lowers the detectability threshold for communities in Markovian temporal networks.

At this point, two different stochastic matrices are used to define the evolu- tion of connections in this initial network

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