Reconstruction of complex networks from causal information

• Grant number: 18/12072-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: December 01, 2018
• End date: February 28, 2023
• Field of knowledge: Physical Sciences and Mathematics - Physics
• Principal Investigator: Francisco Aparecido Rodrigues
• Grantee: Tiago Martinelli
• Host Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID
• Associated scholarship(s): 20/04543-2 - Causal reasoning and decision-making processes, BE.EP.DR

Abstract

One of the main questions in the study of complex systems is to understand how their organization, represented by complex networks, influences dynamic processes. For example, how patterns of connections between coupled oscillators influence the emergence of the synchronous state. Although this study is fundamental for developing methods to control a dynamic process from changes in the structure of the network, in practice the only available information is the time series of a given dynamic process unknown a priori. Recent advances show the possibility of recovering emergent properties of the network from data. Therefore, the objective of this project will be the reconstruction of complex networks from the analysis of available information. In other words, from a time series we can reverse the causal order to obtain the model via data. Such a study will allow a better understanding of these processes and their topology behind, enabling improvements in planning to deal, for example, with degenerative diseases. (AU)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MARTINELLI, Tiago. Causal modeling in high-order scenarios: unfolding mechanisms by moving across scales. 2023. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Física de São Carlos (IFSC/BT) São Carlos.