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studied the influences of all the network parameters such as vision range, speed of motion and
               coupling strength both locally (using linear stability analysis) and non-locally (using basin
               stability analysis).


               We  have  considered  a  multiplex  network  where  the  intra-layer  coupling  interactions  were
               switched stochastically with a characteristic frequency. We explored the intra-layer and inter-
               layer synchronization of such a time-varying multiplex network. We found that the analytically
               derived necessary condition for intra-layer and inter-layer synchronization, obtained by master
               stability function approach, excellently matches with our numerical results. Interestingly, we
               clearly found that higher frequency of switching links in the layers enhances both intra-layer
               and inter-layer synchrony, yielding larger windows of synchronization. We investigated the
               robustness  of  inter-layer  synchronization  against  a  progressive  de-multiplexing  of  the
               multiplex  structure,  and  find  that  for  rapid  switching  of  intra-layer  links,  the  inter-layer
               synchronization persists even when a large number of inter-layer nodes are disconnected. In
               addition,  we  will  investigate  the  robustness  of  complex  biological  systems  where  the
               interactions  vary  with  time.  What  is  the  role  of  characteristic  frequency  on  dynamical
               robustness and other collective synchronization in the time-varying networks?

               Related papers:


                   1.  Rakshit, B. K. Bera, and Dibakar Ghosh: “Synchronization in a temporal multiplex
                       neuronal hypernetwork”, Physical Review E, 98, 032305, 2018.
                   2.  Majhi, Dibakar Ghosh and Juergen Kurths: “Emergence of synchronization in
                       multiplex networks of mobile Rossler oscillators”, Physical Review E, 99, 012308,
                       2019.
                   3.  Sayantan Nag Chowdhury and Dibakar Ghosh: “Synchronization in dynamic
                       network using threshold control approach", Europhysics Letters, 125, 10011, 2019.
                   4.  SN Chowdhury, S Majhi, Dibakar Ghosh, A Prasad, “Convergence of chaotic
                       attractors due to interaction based on closeness”, Physics Letters A 383 (35), 125997,
                       2019.
                   5.  S Rakshit, BK Bera, J Kurths, Dibakar Ghosh, “Enhancing synchrony in multiplex
                       network due to rewiring frequency”,Proceedings of the Royal Society A 475 (2230),
                       20190460, 2019.
                   6.  SN Chowdhury, S Majhi, M Ozer, Dibakar Ghosh, M Perc , “Synchronization to
                       extreme events in moving agents”, New Journal of Physics 21, 073048, 2019.
                   7.  Rakshit, BK Bera, Dibakar Ghosh: “Invariance and stability conditions of interlayer
                       synchronization manifold”, Physical Review E, 101, 012308, 2020.
                   8.  S Rakshit, BK Bera, EM Bollt, Dibakar Ghosh, “Intralayer Synchronization in
                       Evolving Multiplex Hypernetworks: Analytical Approach”, SIAM Journal on Applied
                       Dynamical Systems 19 (2), 918-963, 2020.


                                                                                        (Dibakar Ghosh)

               Experimental Work


               Flume Laboratory work:

               Hydrodynamics of flow over and downstream of a dunal structure and a series of dunes:





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