Emergence of scaling in random networks
About
Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature is found to be a consequence of the two generic mechanisms that networks expand continuously by the addition of new vertices, and new vertices attach preferentially to already well connected sites. A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Albert-Laszlo Barabasi, Reka Albert• 1999
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Link Prediction | Cora (test) | -- | 69 | |
| Link Prediction | NS | AUC0.6865 | 30 | |
| Link Prediction | USAir | AUC88.84 | 29 | |
| Link Prediction | ogbl-citation2 (official) | MRR51.47 | 29 | |
| Link Prediction | ogbl-ddi (official) | Hits@2017.73 | 22 | |
| Link Prediction | USAir 50% links (train) | AP90.29 | 19 | |
| Link Prediction | Router 50% (train) | AP65.2 | 19 | |
| Link Prediction | E.coli 50% links (train) | AP0.9325 | 19 | |
| Link Prediction | Router (50% train links) | AUC55.06 | 19 | |
| Link Prediction | E.coli (50% train links) | AUC0.908 | 19 |
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