activity
20152024
most citedMeasure for degree heterogeneity in complex networks and its application to recurrence network analysis

73 citations · 145 across the 8 of their papers we have counts for

collaborators

8 papers

physics.data-an2024

Tracking Dynamical Transitions using Link Density of Recurrence Networks

Rinku Jacob, R. Misra, K P Harikrishnan +1

We present Link Density (LD) computed from the Recurrence Network (RN) of a time series data as an effective measure that can detect dynamical transitions in a system. We illustrat…

nlin.CD2017

Degree weighted recurrence networks for the analysis of time series data

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

Recurrence networks are powerful tools used effectively in the nonlinear analysis of time series data. The analysis in this context is done mostly with unweighted and undirected co…

q-bio.NC2017★ 1 cited

Determining the minimum embedding dimension for state space reconstruction through recurrence networks

K. P. Harikrishnan, Rinku Jacob, R. Misra +1

The analysis of observed time series from nonlinear systems is usually done by making a time-delay reconstruction to unfold the dynamics on a multi-dimensional state space. An impo…

physics.data-an2017★ 15 cited

Recurrence network measures for hypothesis testing using surrogate data: application to black hole light curves

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

Recurrence networks and the associated statistical measures have become important tools in the analysis of time series data. In this work, we test how effective the recurrence netw…

physics.soc-ph2016★ 73 cited

Measure for degree heterogeneity in complex networks and its application to recurrence network analysis

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

We propose a novel measure of degree heterogeneity, for unweighted and undirected complex networks, which requires only the degree distribution of the network for its computation.…

nlin.CD2015★ 11 cited

Can recurrence networks show small world property?

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

Recurrence networks are complex networks, constructed from time series data, having several practical applications. Though their properties when constructed with the threshold valu…

physics.data-an2015

How does noise affect the structure of a chaotic attractor: A recurrence network perspective

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

We undertake a preliminary numerical investigation to understand how the addition of white and colored noise to a time series affects the topology and structure of the underlying c…

nlin.CD2015★ 45 cited

Uniform framework for the recurrence-network analysis of chaotic time series

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

We propose a general method for the construction and analysis of unweighted - recurrence networks from chaotic time series. The selection of the critical threshold in our…