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Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry

机译:使用社交传感器检测紧急事件:电力行业的停电案例

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摘要

This article presents a novel approach to detecting emergency events, such as power outages, that utilizes social media users as "social sensors" for virtual detection of such events. The proposed new method is based on the analysis of the Twitter data that leads to the detection of Twitter discussions about these emergency events. The method described in the article was implemented and deployed by one of the vendors in the context of detecting power outages as a part of their comprehensive social engagement platform. It was also field tested on Twitter users in an industrial setting and performed well during these tests.
机译:本文提出了一种检测紧急事件(如停电)的新颖方法,该方法利用社交媒体用户作为“社交传感器”来虚拟检测此类事件。提议的新方法基于对Twitter数据的分析,该分析导致检测到Twitter关于这些紧急事件的讨论。本文中描述的方法是由其中一个供应商在检测断电的情况下实施和部署的,这是他们全面的社交平台的一部分。它还在工业环境中对Twitter用户进行了现场测试,并且在这些测试中表现良好。

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