Exploring patterns of empirical networks

Student thesis: Doc typesDoctor of Sciences

Abstract

We are constantly struggling to understand how nature works, trying to identify recurrent events and looking for analogies and relations between objects or individuals. Knowing patterns of behavior is powerful and fundamental for survival of any species. In this thesis, datasets of diverse systems related to transportation, economics, sexual and social contacts, are characterized by using the formalisms of time series and network theory. Part of the results consists on the collection and analyzes of original network data, the rest focuses on the simulation of dynamical processes on these networks and to study how they are affected by the particular structures. The majority of the thesis is about temporal networks, i.e. networks whose structure changes in time. The new temporal dimension reveals structural dynamical properties that help to understand the feedback mechanisms responsible to make the network structure to adapt and to understand the emergence and inhibition of diverse phenomena in dynamic systems, as epidemics in sexual and contact networks
Date of Award4 Oct 2011
Original languageEnglish
Awarding Institution
  • Umeå Universitet
SupervisorPetter Holme (Jury)

Keywords

  • Complex systems
  • complex network
  • network analysis
  • empirical networks
  • air transportation
  • consumer complaints
  • information technology
  • sexual medicine
  • epidemiology computer
  • information science

Cite this

Exploring patterns of empirical networks
Correa da Rocha, L. E. (Author). 4 Oct 2011

Student thesis: Doc typesDoctor of Sciences