threads-math-sx

Overview

This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are users on https://math.stackexchange.com, and a hyperedge comes from users participating in a thread that lasts for at most 24 hours. The timestamps are the time of the post, but normalized so that the earliest post starts at 0. 

Source of original data

Source: threads-math-sx dataset

References

If you use this data, please cite the following paper:

Simplicial closure and higher-order link prediction. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.

数据集概述
本数据集属于时序高阶网络数据集，具体表现为一系列带时间戳的超边（hyperedge）序列，每条超边均为节点的集合。本数据集中的节点为https://math.stackexchange.com 平台上的用户，每条超边对应参与单条时长不超过24小时的讨论串的全体用户。时间戳取自发帖时刻，已做归一化处理，令最早的发帖时刻起始值为0。

原始数据来源
数据来源：threads-math-sx 数据集

引用说明
若使用本数据集，请引用以下论文：
《Simplicial closure and higher-order link prediction》，作者：Austin R. Benson、Rediet Abebe、Michael T. Schaub、Ali Jadbabaie 与 Jon Kleinberg，发表于《美国国家科学院院刊》（Proceedings of the National Academy of Sciences，缩写PNAS），2018年。