Csardi G. "Dynamics of citation networks" ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1 LECTURE NOTES IN COMPUTER SCIENCE 4131: 698-709 2006

[Eugene Garfield]

E-Mail : E-mail Addresses: csardi at rmki.kfki.hu 

Title: Dynamics of citation networks 

Author(s): Csardi G (Csardi, Gabor)

Source: ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1 LECTURE NOTES IN 
COMPUTER SCIENCE 4131: 698-709 2006 

Document Type: Article 
Language: English 
Cited References: 18      Times Cited: 0      
  
Abstract: 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. 
KeyWords Plus: EVOLVING NETWORKS; COMPLEX NETWORKS 
Addresses: Csardi G (reprint author), Hungarian Acad Sci, KFKI Res Inst 
Particle & Nucl Phys, Dept Biophys, Budapest, Hungary
Hungarian Acad Sci, KFKI Res Inst Particle & Nucl Phys, Dept Biophys, 
Budapest, Hungary
Kalamazoo Coll, Ctr Complex Syst Studies, Kalamazoo, MI 49006 USA

E-mail Addresses: csardi at rmki.kfki.hu 

Publisher: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, 
GERMANY 

IDS Number: BFE51 

ISSN: 0302-9743 

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