• DocumentCode
    1055087
  • Title

    The Architecture of Complexity

  • Author

    BarabÁsi, Albert-LÁszlÓ

  • Author_Institution
    Notre Dame Univ., Notre Dame
  • Volume
    27
  • Issue
    4
  • fYear
    2007
  • Firstpage
    33
  • Lastpage
    42
  • Abstract
    The purpose of this article is to illustrate, through the example of human dynamics, that a thorough understanding of complex systems requires an understanding of network dynamics as well as network topology and architecture. After an overview of the topology of complex networks, such as the Internet and the WWW, data-driven models for human dynamics are given. These models motivate the study of network dynamics and suggest that complexity theory must incorporate the interactions between dynamics and structure. The article also advances the notion that an understanding of network dynamics is facilitated by the availability of large data sets and analysis tools gained from the study of network structure.
  • Keywords
    Internet; complex networks; large-scale systems; telecommunication network topology; Internet; WWW; complex systems; complexity architecture; data sets availability; data-driven models; human dynamics; network architecture; network structure; network topology; Atomic measurements; Chaotic communication; Complex networks; Gases; Humans; IP networks; Magnetic materials; Magnets; Network topology; World Wide Web;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/MCS.2007.384127
  • Filename
    4272327