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Aging in Citation Networks

Kamalika Basu Hajra·Parongama sen
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Abstract

In many growing networks, the age of the nodes plays an important role in deciding the attachment probability of the incoming nodes. For example, in a citation network, very old papers are seldom cited while recent papers are usually cited with high frequency. We study actual citation networks to find out the distribution $T(t)$ of $t$, the time interval between the published and the cited paper. For different sets of data we find a universal behaviour: $T(t) \sim t^{-0.9}$ for $t \leq t_c$ and $T(t) \sim t^{-2}$ for $t>t_c$ where $t_c \sim O(10)$.

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Kamalika Basu Hajra, Parongama sen. 2004-09-01. Aging in Citation Networks. https://arxiv.org/abs/cond-mat/0409017

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