Recurrence Network Analysis

10. K. P. Harikrishnan, R. Misra and G. Ambika, Quantifying information loss on chaotic attractors through recurrence networks, Phys. Lett. A, Vol. 383, 125854, 2019.

9. Rinku Jacob, K. P. Harikrishnan, R. Misra and G. Ambika, Weighted recurrence networks for the analysis of time series data, Proc. Royal Society A, Vol. 475, 20180256.

http://dx.doi.org/10.1098/rspa.2018.0256

8. K. P. Harikrishnan, Rinku Jacob, R. Misra and G. Ambika, Weighted recurrence networks from chaotic time series, CMSIM Journal, Vol. 4, 433-440, 2017

7. Rinku Jacob, K. P. Harikrishnan, R. Misra and G. Ambika, Recurrence network measures for hypothesis testing using surrogate data: Application to black hole light curves, Commn.Nonlinear Sci.Numerical Simulations, Vol. 54, 84-99, 2018

https://doi.org/10.1016/j.cnsns.2017.05.018

6. Rinku Jacob, K. P. Harikrishnan, R. Misra and G. Ambika, Measure for degree heterogeneity in complex networks and its application to recurrence network analysis, Royal Society Open Science, Vol. 4, 160757, 2017.

http://dx.doi.org/10.1098/rsos.160757

5. K. P. Harikrishnan, Rinku Jacob, R. Misra and G. Ambika, Determining the minimum embedding dimension for state space reconstruction through recurrence networks, Indian Acad. of Sciences Conf. Series, Vol.1(1), 43, 2017

DOI: 10.29195/iascs.01.01.0004

4. Rinku Jacob, K. P. Harikrishnan, R. Misra and G. Ambika, Crossover of recurrence networks to random graphs and random geometric graphs, Pramana-J. Phys, Vol. 88, 37, 2017

DOI: 10.1007/s12043-016-1339-y

3. Rinku Jacob, K. P. Harikrishnan, R. Misra and G. Ambika, Can recurrence networks show small world property?, Physics Letters A, Vol. 380, 2718 - 23, 2016

https://doi.org/10.1016/j.physleta.2016.06.038

2. Rinku Jacob, K. P. Harikrishnan, R. Misra and G. Ambika, Uniform framework for the recurrence - network analysis of chaotic time series, Phys. Rev. E, Vol. 93, 012202, 2016.

https://doi.org/10.1103/PhysRevE.93.012202

1. Rinku Jacob, K. P. Harikrishnan, R. Misra and G. Ambika, Characterization of chaotic attractors under noise: A recurrence network perspective, Comm. Nonlinear Sci. Num. Simulations, Vol. 41, 32 - 47, 2016.

https://doi.org/10.1016/j.cnsns.2016.04.028