City-Scale Social Event Detection and Evaluation with Taxi Traces
City-Scale Social Event Detection and Evaluation with Taxi Traces
复制标题
DOI：
10.1145/2700478
复制
发表时间：
2015-05
期刊：
影响因子：
--
通讯作者：
Wangsheng Zhang;Guande Qi;Gang Pan;Hua Lu;Shijian Li;Zhaohui Wu
中科院分区：
文献类型：
--
作者：
Wangsheng Zhang;Guande Qi;Gang Pan;Hua Lu;Shijian Li;Zhaohui Wu
社交活动是指涉及人数较多且人流量明显增加的事件。对社会事件的分析具有现实世界的重要性，因为事件会对城市生活的许多方面产生影响。传统上，社会事件的发现和影响衡量依赖于社会调查，这需要大量的人力。最近，通过分析社交网络中的消息，研究人员还可以检测和评估国家规模的事件。然而，尚未探索对城市规模事件的分析。在本文中，我们使用反映一个地区的社会活跃度的人流动态来检测社会事件并衡量其影响。我们首先从出租车痕迹中提取人流动态。其次，我们提出了一种方法，不仅可以从异常的社会活跃度中发现事件发生的时间和地点，还可以通过异常活跃度的变化来衡量事件的规模。第三，我们从痕迹中提取交通拥堵信息，并利用其在社会事件期间的变化来衡量其影响。实验结果验证了事件检测和影响测量方法的有效性。
A social event is an occurrence that involves lots of people and is accompanied by an obvious rise in human flow. Analysis of social events has real-world importance because events bring about impacts on many aspects of city life. Traditionally, detection and impact measurement of social events rely on social investigation, which involves considerable human effort. Recently, by analyzing messages in social networks, researchers can also detect and evaluate country-scale events. Nevertheless, the analysis of city-scale events has not been explored. In this article, we use human flow dynamics, which reflect the social activeness of a region, to detect social events and measure their impacts. We first extract human flow dynamics from taxi traces. Second, we propose a method that can not only discover the happening time and venue of events from abnormal social activeness, but also measure the scale of events through changes in such activeness. Third, we extract traffic congestion information from traces and use its change during social events to measure their impact. The results of experiments validate the effectiveness of both the event detection and impact measurement methods.