A multilayer network dataset of interaction and influence spreading in a virtual world

TL;DR

This paper introduces a unique publicly available multilayer social network dataset capturing five real-world spreading campaigns in a virtual world, enabling detailed analysis of interaction and influence dynamics.

Contribution

It provides the first complete dataset of a real multilayer social network with five detailed spreading processes, facilitating new research opportunities.

Findings

First publicly available multilayer social network dataset.

Includes five complete spreading campaigns with detailed event data.

Enables analysis of influence and interaction in virtual environments.

Abstract

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.