Steady state and mean recurrence time for random walks on stochastic temporal networks

@article{Speidel2015SteadySA,
  title={Steady state and mean recurrence time for random walks on stochastic temporal networks},
  author={Leo Speidel and Renaud Lambiotte and Kazuyuki Aihara and Naoki Masuda},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2015},
  volume={91 1},
  pages={
          012806
        }
}
  • Leo Speidel, Renaud Lambiotte, +1 author Naoki Masuda
  • Published 2015
  • Physics, Computer Science, Mathematics, Medicine
  • Physical review. E, Statistical, nonlinear, and soft matter physics
  • Random walks are basic diffusion processes on networks and have applications in, for example, searching, navigation, ranking, and community detection. Recent recognition of the importance of temporal aspects on networks spurred studies of random walks on temporal networks. Here we theoretically study two types of event-driven random walks on a stochastic temporal network model that produces arbitrary distributions of interevent times. In the so-called active random walk, the interevent time is… CONTINUE READING

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