With currently about three billion users, online social networks (OSNs) provide an important channel for people to express their opinion, seek information, and engage in discussions during events of public interest, such as disease outbreaks, natural disasters, or political elections. Human perception of such events does not only depend on the circumstances surrounding an individual but also on his $/$ her attitude toward a particular event. In this context, human emotions play an important role. Our paper reports on an analysis of the emotions expressed on Twitter as people face various types of crisis events. We provide an overview of structural network patterns that arise as humans exchange emotional OSN messages. To this end, we analyzed a dataset including 23.31 million tweets that have been sent during 18 different crisis events which happened in 2017 and 2018 in 10 different countries.

中文翻译：

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危机事件中的情感交流：挖掘结构化的OSN模式

在线社交网络（OSN）当前拥有约30亿用户，为人们在公众关注的事件（例如疾病暴发，自然灾害或政治选举）中表达意见，寻求信息以及参与讨论提供了重要的渠道。人类对此类事件的感知不仅取决于个人周围的环境，还取决于他的个人 $ / $ 她对特定事件的态度。在这种情况下，人类的情感扮演一个重要角色。我们的论文报告了当人们面对各种危机事件时在Twitter上表达的情绪的分析。我们概述了随着人类交换情感化的OSN消息而出现的结构网络模式。为此，我们分析了一个数据集，包括在2017年和2018年在10个不同国家发生的18种不同危机事件中发送的2331万条推文。