๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Aging in citation networks

โœ Scribed by Kamalika Basu Hajra; Parongama Sen

Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
182 KB
Volume
346
Category
Article
ISSN
0378-4371

No coin nor oath required. For personal study only.

โœฆ Synopsis

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 Tรฐtรž of t, the time interval between the published and the cited paper. For different sets of data we find a universal behaviour:

๐Ÿ“œ SIMILAR VOLUMES

Link prediction in citation networks
Link prediction in citation networks
โœ Naoki Shibata; Yuya Kajikawa; Ichiro Sakata ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 462 KB
Distance measures for dynamic citation n
Distance measures for dynamic citation networks
โœ Michael J. Bommarito II; Daniel Martin Katz; Jonathan L. Zelner; James H. Fowler ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 620 KB
Directed accelerated growth: application
Directed accelerated growth: application in citation network
โœ Parongama Sen ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 265 KB

In many real-world networks, the number of links increases non-linearly with the number of nodes. Models of such accelerated growth have been considered earlier with deterministic and stochastic number of links. Here we consider stochastic accelerated growth in a network where links are directed. Wi