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On the visualization of dynamic structure: understanding the distinction between static and dynamic network topology

In: Handbook of Research Methods in Complexity Science

Author

Listed:
  • Dr Kurt A. Richardson
  • Andrew Tait

Abstract

Understanding the structure of complex networks and uncovering the properties of their constituents has been for many decades at the center of study of several fundamental sciences, especially in the fields of biological and social networks. Given the large scale and interconnected nature of these types of networks, there is a need for tools that enable us to make sense of these structures. This chapter explores how, for a given network, there are a range of emergent dynamic structures that support the different behaviors exhibited by the network’s various state space attractors. We use a selected Boolean Network, calculate a variety of structural and dynamic parameters, explore the various dynamic structures that are associated with it and consider the activities associated with each of the network’s nodes when in certain modes/attractors. This work is a follow-up to past work aiming to develop robust complexity-informed tools with particular emphasis on network dynamics.

Suggested Citation

  • Dr Kurt A. Richardson & Andrew Tait, 2018. "On the visualization of dynamic structure: understanding the distinction between static and dynamic network topology," Chapters, in: Eve Mitleton-Kelly & Alexandros Paraskevas & Christopher Day (ed.), Handbook of Research Methods in Complexity Science, chapter 10, pages 178-198, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:16937_10
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