dorsal/arxiv
View SchemaActivity ageing in growing networks
| Authors | R. Lambiotte |
|---|---|
| Categories | |
| ArXiv ID | physics/0701157 |
| URL | https://arxiv.org/abs/physics/0701157 |
| DOI | 10.1088/1742-5468/2007/02/P02020 |
| Journal | J. Stat. Mech. (2007) 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.
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"abstract": "We present a model for growing information networks where the ageing of a\nnode depends on the time at which it entered the network and on the last time\nit was cited. The model is shown to undergo a transition from a small-world to\nlarge-world network. The degree distribution may exhibit very different shapes\ndepending on the model parameters, e.g. delta-peaked, exponential or power-law\ntailed distributions.",
"arxiv_id": "physics/0701157",
"authors": [
"R. Lambiotte"
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"categories": [
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"doi": "10.1088/1742-5468/2007/02/P02020",
"journal_ref": "J. Stat. Mech. (2007) P02020",
"title": "Activity ageing in growing networks",
"url": "https://arxiv.org/abs/physics/0701157"
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