TSVP Talk: "Spectra of Complex Networks" by Izaak Neri


2024年4月11日 (木) 15:00


L4E48 and zoom


Title: Spectra of Complex Networks

Abstract: Graphs are used to represent complex systems. Examples are food webs representing the trophic interactions between species in large ecosystems, synaptic interactions between neurons in neural systems, or networks depicting the supply of goods between firms in financial systems. A question of interest is how graph topology affects the dynamics of a complex system. In addition, we would like to understand how interaction properties, such as their sign pattern, affect system dynamics. This seminar introduces an avenue of approach in solving this question, which is based on the spectral properties of large random graphs. These latter serve as null models for complex systems, and a description of their eigenvalues and eigenvectors fully determines the dynamics of corresponding linear systems.

Profile: Izaak is a Senior Lecturer in Disordered Systems within the Mathematics Department at King’s College London. Izaak engages in two research domains. Firstly, he develops mathematical techniques for analysing complex systems, such as, neural networks, ecosystems, and complex fluids, with a specific focus on understanding the role of network structure and heterogeneity in their dynamics. In this context, he extends methods used for studying systems with all-to-all interactions to those within networked systems. Secondly, Izaak uses stochastic processes to explore nonequilibrium fluctuations in small systems, such as molecular motors, or decision-making processes in noisy environments.

Language: English, no interpretation.

Target audience: General audience / everyone at OIST and beyond.
Freely accessible to all OIST members and guests without registration.


This talk will also be broadcast online via Zoom:

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Meeting ID:     928 9075 0256
Passcode:    455838


※ Please note that this event may be recorded and the videos uploaded. In addition, photos may be taken during the event. These are intended for publication online (the OIST website, social media, etc.)※


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