Activity driven modeling of time varying networks

Network modeling plays a critical role in identifying statistical regularities and structural principles common to many systems. The large majority of recent modeling approaches are connectivity driven. The structural patterns of the network are at the basis of the mechanisms ruling the network formation. Connectivity driven models necessarily provide a time-aggregated representation that may fail to describe the instantaneous and fluctuating dynamics of many networks. We address this challenge by defining the activity potential, a time invariant function characterizing the agents' interactions and constructing an activity driven model capable of encoding the instantaneous time description of the network…

• GD
  Generalitat de Catalunya
• IC
  Institució Catalana de Recerca i Estudis Avançats
• MD
  Ministerio de Ciencia e Innovación
• AR
  Army Research Laboratory

  Awards: W911NF, W911NF-09-2-0053