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20002024
most citedRandom walks and diffusion on networks

670 citations · 5.2k across the 132 of their papers we have counts for

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Showing 2019 · physics.soc-phShow all

6 papers · 2 filters

physics.soc-ph2019★ 25 cited

Modeling temporal networks with bursty activity patterns of nodes and links

Takayuki Hiraoka, Naoki Masuda, Aming Li +1

The concept of temporal networks provides a framework to understand how the interaction between system components changes over time. In empirical communication data, we often detec…

physics.soc-ph2019★ 31 cited

Critical mass effect in evolutionary games triggered by zealots

Alessio Cardillo, Naoki Masuda

Tiny perturbations may trigger large responses in systems near criticality, shifting them across equilibria. Committed minorities are suggested to be responsible for the emergence…

physics.soc-ph2019★ 4 cited

Analysis of the susceptible-infected-susceptible epidemic dynamics in networks via the non-backtracking matrix

Naoki Masuda, Victor M. Preciado, Masaki Ogura

We study the stochastic susceptible-infected-susceptible model of epidemic processes on finite directed and weighted networks with arbitrary structure. We present a new lower bound…

physics.soc-ph2019★ 4 cited

Dynamical stability of water distribution networks

Naoki Masuda, Fanlin Meng

Water distribution networks are hydraulic infrastructures that aim to meet water demands at their various nodes. Water flows through pipes in the network create nonlinear dynamics…

physics.soc-ph2019★ 16 cited

Long-tailed distributions of inter-event times as mixtures of exponential distributions

Makoto Okada, Kenji Yamanishi, Naoki Masuda

Inter-event times of various human behavior are apparently non-Poissonian and obey long-tailed distributions as opposed to exponential distributions, which correspond to Poisson pr…

physics.soc-ph2019★ 18 cited

Constructing networks by filtering correlation matrices: A null model approach

Sadamori Kojaku, Naoki Masuda

Network analysis has been applied to various correlation matrix data. Thresholding on the value of the pairwise correlation is probably the most straightforward and common method t…