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Estimating crowd sizes through social media

机译:通过社交媒体估算人群规模

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摘要

Social media is of great significance in modern society and the analysis of Twitter data has shown an increasing trend towards supporting different research efforts, from understanding society to marketing and analysis of organizations. The ubiquity of Twitter with over 2.9million Tweeters in Australia alone means that it can be used for many (potentially unforeseen) activities. In this paper we consider how it can be used for estimation of crowd sizes. This is useful for calculating public event attendance as well as for potential safety concerns. In order to establish the relationship between social media usage and crowd sizes we focus on a range of sporting events, where attendances are known. From this we create a prediction model that can be used to estimate unknown crowd sizes based on social media use alone. We show how it is possible to benchmark the accuracy of the crowd size estimation by introducing other information. Finally, we apply the prediction model to estimate the attendance at the Melbourne marathon event where unknown numbers of attendees were present.
机译:社交媒体在现代社会中具有重要意义,对Twitter数据的分析已显示出越来越多的趋势,支持从理解社会到市场营销和组织分析的各种研究工作。 Twitter仅在澳大利亚就拥有290万多个高音扬声器,这意味着它可以用于许多(可能是不可预见的)活动。在本文中,我们考虑如何将其用于人群数量的估计。这对于计算公共事件的出席率以及潜在的安全隐患非常有用。为了建立社交媒体使用率与人群规模之间的关系,我们专注于参加人数众多的体育赛事。据此,我们创建了一个预测模型,可用于仅基于社交媒体使用来估计未知人群的规模。我们展示了如何通过引入其他信息来对人群规模估计的准确性进行基准测试。最后,我们使用预测模型来估计参加者人数未知的墨尔本马拉松比赛的出勤率。

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