Dynamics of Citation Networks

  • Gábor Csárdi
Conference paper

DOI: 10.1007/11840817_73

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4131)
Cite this paper as:
Csárdi G. (2006) Dynamics of Citation Networks. In: Kollias S.D., Stafylopatis A., Duch W., Oja E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4131. Springer, Berlin, Heidelberg


The aim of this paper is to give theoretical and experimental tools for measuring the driving force in evolving complex networks. First a discrete-time stochastic model framework is introduced to state the question of how the dynamics of these networks depend on the properties of the parts of the system. Then a method is presented to determine this dependence in the possession of the required data about the system. This measurement method is applied to the citation network of high energy physics papers to extract the in-degree and age dependence of the dynamics. It is shown that the method yields close to “optimal” results.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gábor Csárdi
    • 1
    • 2
  1. 1.Department of BiophysicsKFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of SciencesBudapestHungary
  2. 2.Center for Complex Systems StudiesKalamazoo CollegeKalamazooUSA

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