
Data for the paper Marc Kaufmann, Ulysse Schaller, Thomas Bläsius, Johannes Lengler: Assortativity in Geometric and Scale-Free Networks. (arxiv.org/abs/2508.04608) The following data is contained: real_world_networks.zip: A collection of 34 real-world networks (also available on Konect) generated_networks.zip: The networks we generated (CL and GIRG). This contains > 1900 networks (> 4GB) that can be generated in about 10min. We recommend to follow the instructions in the code repository on how to generate the files instead of downloading them. output_data.zip: The stats we computed for the networks (real-world and generated). The code to run the experiments can be found here: github.com/thobl/assortativity And here: zenodo.org/records/16746826
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
