Link prediction in citation networks
β Scribed by Naoki Shibata; Yuya Kajikawa; Ichiro Sakata
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 462 KB
- Volume
- 63
- Category
- Article
- ISSN
- 1532-2882
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
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 fi
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