We present a model for growing information networks where the ageing of a node depends on the time at which it entered the network and on the last time it was cited. The model is shown to undergo a transition from a small-world to a large-world network. The degree distribution may exhibit very different shapes depending on the model parameters, e.g.delta-peaked, exponential or power-law tailed distributions.
|journal||Journal of Statistical Mechanics: Theory and Experiment|
|Numéro de publication||2|
|Etat de la publication||Publié - 1 févr. 2007|