Activity ageing in growing networks
arXiv:physics/0701157 · doi:10.1088/1742-5468/2007/02/P02020
Abstract
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 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.
9 pages, 2 figures
References in corpus (17)
- Emergence of scaling in random networks
- Classes of behavior of small-world networks
- Connectivity of Growing Random Networks
- Organization of Growing Random Networks
- Scale-Free Networks are Ultrasmall
- Evolution of reference networks with aging
- Citation Statistics from 110 Years of Physical Review
- Highly clustered scale-free networks
- Epidemic threshold in structured scale-free networks
- Duplication-divergence model of protein interaction network
- Log-Networks
- Logarithmic growth dynamics in software networks
- A Yule-Simon process with memory
- Extremal properties of random trees
- Life, Death and Preferential Attachment
- Universal Scaling Behavior of Clustering Coefficient Induced by Deactivation Mechanism
- Growing network with j-redirection