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A multilayer network dataset of interaction and influence spreading in a virtual world
Jarosław Jankowski1, Radosław Michalski2, Piotr Bródka2
1West Pomeranian University of Technology, Department of Computer Science and Information Technology, Szczecin 71-210, Poland.
This study introduces a unique dataset of avatar spreading campaigns in a virtual world. It provides a real multilayer social network and associated spreading processes for research.
Area of Science:
- Social network analysis
- Virtual world studies
- Information diffusion research
Background:
- Understanding social dynamics and information spread is crucial.
- Virtual worlds offer unique platforms for studying human interaction.
- Existing datasets often lack the complexity of real-world social structures.
Purpose of the Study:
- To present a novel, publicly available dataset of avatar spreading campaigns.
- To provide a complete, real multilayer social network alongside spreading processes.
- To facilitate research on social network dynamics and information diffusion.
Main Methods:
- Data collection from five spreading campaigns in a virtual world platform.
- Recording user avatar distribution, campaign time, range, and incentives.
- Accompanying campaign data with event logs for network construction.
Main Results:
- A comprehensive dataset combining a real multilayer social network with five spreading processes.
- Data captures variations in campaign dynamics (time, range, incentives).
- Enables the construction of a multilayer network for contextualizing campaigns.
Conclusions:
- This dataset is the first of its kind, offering a complete real multilayer social network and spreading processes.
- It provides a valuable resource for studying social network evolution and diffusion.
- Researchers can utilize this data to build complex network models and analyze spreading phenomena.
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