Fulltext

Understanding complex systems: When Big Data meets network science

Scholtes, Ingo

In: it - Information Technology, 2015, vol. 57, no. 4, p. 252-256

Ajouter à la liste personnelle
    Titre
    • Understanding complex systems: When Big Data meets network science
    Auteur
    • Scholtes, Ingo. ETH Zürich, Chair of Systems Design, Zürich, Switzerland
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • it - Information Technology, 2015, vol. 57, no. 4, p. 252-256. De Gruyter Oldenbourg
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:326473
    Summary
    Better understanding and controlling complex systems has become a grand challenge not only for computer science, but also for the natural and social sciences. Many of these systems have in common that they can be studied from a network perspective. Consequently methods from network science have proven instrumental in their analysis. In this article, I introduce the macroscopic perspective that is at the heart of network science. Summarizing my recent research activities, I discuss how a combination of this perspective with Big Data methods can improve our understanding of complex systems.