Modelling aging characteristics in citation networks

Kamalika Basu Hajra and Parongama Sen

Physica A: Statistical Mechanics and its Applications, 2006, vol. 368, issue 2, 575-582

Abstract: Growing network models with preferential attachment dependent on both age and degree are proposed to simulate certain features of citation network noted in [Redner, arXiv: physics/0407137 (2004)]. In this directed network, a new node gets attached to an older node with the probability ∼K(k)f(t) where the degree and age of the older node are k and t, respectively. Several functional forms of K(k) and f(t) have been considered. The desirable features of the citation network can be reproduced with K(k)∼k-β and f(t)∼exp(αt) with β=2.0 and α=-0.2 and with simple modifications in the growth scheme.

Keywords: Evolving networks; Attachment probalility; Distribution (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:368:y:2006:i:2:p:575-582

DOI: 10.1016/j.physa.2005.12.044

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