A multilayer network dataset of interaction and influence spreading in a virtual world
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Abstract (arXiv)
Presented data contains the record of five spreading campaigns that occurred in a virtual world platform. Users distributed avatars between each other during the campaigns. The processes varied in time and range and were either incentivized or not incentivized. Campaign data is accompanied by events. The data can be used to build a multilayer network to place the campaigns in a wider context. To the best of the authors knowledge, the study is the first publicly available dataset containing a complete real multilayer social network together, along with five complete spreading processes in it.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Feb 2017.
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2025Identifying Super Spreaders in Multilayer Networkscited by 2
- 2025Multilayer Artificial Benchmark for Community Detection (mABCD)cited by 1
- 2026Towards Graph Foundation Models for Dynamics in Complex Networked Systems: Lessons from Super-Spreader Identification in Multilayer Networkscited by 0
- 2026Graph Reduction in Multirelational Networks: A Spreading-Oriented Reduction Benchmarkcited by 0
- 2026Graph Reduction in Multirelational Networks: A Spreading-Oriented Reduction Benchmark10 Jun 2026
- 2026Towards Graph Foundation Models for Dynamics in Complex Networked Systems: Lessons from Super-Spreader Identification in Multilayer Networks6 Jun 2026
- 2025Multilayer Artificial Benchmark for Community Detection (mABCD)14 Jul 2025
- 2025Identifying Super Spreaders in Multilayer Networks27 May 2025