In parallel with the increase of various mobile technologies, the MSN service has brought us into an era of mobile social big data, where people are creating new social data every second and everywhere. It is of vital importance for businesses, governments, and institutions to understand how peoples' behaviors in the online cyberspace can affect the underlying computer network, or their offline behaviors at large. To study this problem, we collect a dataset from WeChat Moments, called WeChatNet, which involves 25,133,330 WeChat users with 246,369,415 records of link reposting on their pages. We revisit three network applications based on the data analytics over WeChatNet, i.e., the information dissemination in mobile cellular networks, the network traffic prediction in backbone networks, and the mobile population distribution projection. We also discuss the potential research opportunities for developing new applications using the released dataset.

中文翻译：

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移动社交大数据：微信时刻数据集，网络应用程序和机会

随着各种移动技术的发展，MSN服务使我们进入了一个移动社交大数据时代，人们在每个地方和每个地方都在创建新的社交数据。对于企业，政府和机构来说，了解人们在在线网络空间中的行为如何影响底层计算机网络或他们的离线行为至关重要，这一点至关重要。为了研究这个问题，我们从微信朋友圈中收集了一个名为WeChatNet的数据集，该数据集涉及25,133,330个WeChat用户以及其页面上的246,369,415条链接重新发布记录。我们基于微信网络上的数据分析重新审视了三个网络应用程序，即移动蜂窝网络中的信息传播，骨干网络中的网络流量预测以及移动人口分布预测。