Skip to Main content Skip to Navigation
Theses

A statistical physics approach to different problems in network theory

Abstract : Statistical physics, originally developed to describe thermodynamic systems, has been playing for the last decades a central role in modelling an incredibly large and heterogeneous set of different phenomena taking for instance place on social, economical or biological systems. Such a vast field of possible applications has been found also for networks, as a huge variety of systems can be described in terms of interconnected elements. After an introductory part introducing these themes as well as the role of abstract modelling in science, in this dissertation it will be discussed how a statistical physics approach can lead to new insights as regards three problems of interest in network theory: how some quantity can be optimally spread on a graph, how to explore it and how to reconstruct it from partial information. Some final remarks on the importance such themes will likely preserve in the coming years conclude the work.
Document type :
Theses
Complete list of metadatas

Cited literature [243 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-01668590
Contributor : Abes Star :  Contact
Submitted on : Wednesday, December 20, 2017 - 10:30:26 AM
Last modification on : Wednesday, October 14, 2020 - 4:06:31 AM

File

fix_grmlP4bl.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01668590, version 1

Citation

Alberto Guggiola. A statistical physics approach to different problems in network theory. Physics [physics]. Ecole normale supérieure - ENS PARIS, 2015. English. ⟨NNT : 2015ENSU0034⟩. ⟨tel-01668590⟩

Share

Metrics

Record views

337

Files downloads

394