Lab of Complex Systems Modeling and Control seminar:"Signal propagation in complex networks"
Laboratory of Complex Systems Modeling and Control will have the next online seminar on Friday, March 31, 14:40.
Title: Signal propagation in complex networks
Speaker: Chittaranjan Hens, Assistant Professor, Lab for Networks & Nonlinear Dynamics (LN2D), Center for Computational Natural Sciences and Bioinformatics (CCNSB), International Institute of Information Technology, Gachibowli, Hyderabad, India
It is now essential to understand complex networks to comprehend how spreading phenomena occur in various real-world scenarios. For example, a local infection may spread in the entire network within a shorter time scale. In most cases, the characteristic path lengths of the underlying network determine the propagation pattern. In others, however, characteristic path lengths cannot be the sole predicting element to visualize the propagation pattern. In this situation, the spreading phenomena occur more complicated way as the propagation depends not only on the network path lengths but also on the network heterogeneity and underlying oscillatory states of each node.
We here analytically derive the response propagation, obtaining its dependence on the degree distribution, the distance from the perturbation and the intrinsic dynamics of each network. Our results uncover a deep universality in the propagation patterns crossing domains of inquiry, from ecological system to gene regulatory dynamics. More specifically we uncover how disease spread in arbitrary complex networks [1-2]. We aim to comprehend the spread of epidemics (Influenza like disease) in meta-population networks. We also provide the suitable intervention strategy to reduce the severity disease based on the human movements [2].
References:
1. Spatiotemporal signal propagation in complex networks, Chittaranjan Hens, Uzi Harush, Simi Haber, Reuven Cohen, Baruch Barzel. Nature Physics, 15, 403–412 (2019).
2. Optimal test-kit based intervention strategy of epidemic spreading in heterogeneous complex networks, Subrata Ghosh, Abhishek Senapati, Joydeb Chattopadhyay, Chittaranjan Hens, D Ghosh. Chaos 31 (7), 071101, (2021).
3. Identifying Influential Pandemic Regions Using Graph Signal Variation, S Darapu, S Ghosh, A Senapati, C Hens, S Nannuru, arXiv:2211.05517,(2022).
4. Emergent stability in complex network dynamics, Chandrakala Meena, Chittaranjan Hens, Suman Acharyya, Simcha Haber, Stefano Boccaletti, & Baruch Barzel. Nature Physics Revision submitted (2023).