4 citations · 4 across the 8 of their papers we have counts for
6 papers · 1 filter
Recovery Random Walks for Extreme Events on Complex Networks
Karan Singh, Narendran R. V., V. K. Chandrasekar +1
Extreme events are widely studied within simple random walk frameworks, where their probability is determined by the network structure and stationary walker distribution. Here, we…
Delay-Controlled Heterogeneous Nucleation in Adaptive Dynamical Networks
R. Anand, Jan Fialkowski, V. K. Chandrasekar +1
Phase transitions constitute fundamental mechanisms underlying abrupt or qualitative changes in the collective dynamics of interacting units across a wide range of natural and engi…
Emergence of solitary and chimera states in adaptive pendulum networks under diverse learning rules
R. Anand, V. K. Chandrasekar, R. Suresh
We investigate the interplay between phase lag and adaptive learning rules in a network of identical pendulum oscillators, where the coupling strengths evolve dynamically in respon…
Frustration-Induced Collective Dynamical States in Pulse-Coupled Adaptive Winfree Networks
R. Anand, V. K. Chandrasekar, R. Suresh
We investigate collective dynamics in a pulse-coupled adaptive Winfree network under the influence of a frustration (phase-lag) parameter. The coupling strengths coevolve according…
Dynamics-induced activity patterns of active-inactive clusters in complex networks
Anil Kumar, V. K. Chandrasekar, D. V. Senthilkumar
Synchrony patterns describe network states in which nodes of a coupled dynamical system are grouped into clusters based on synchronization between nodes. Beyond simple synchrony, s…
Symmetry-induced activity patterns of active-inactive clusters in complex networks
Anil Kumar, V. K. Chandrasekar, D. V. Senthilkumar
Synchrony patterns characterize network states in which nodes organize into clusters based on their synchronized dynamics. The synchronized clusters may further exhibit either acti…