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在位置共享服务中探索数以百万计的脚印

Exploring Millions of Footprints in Location Sharing Services
课程网址: http://videolectures.net/icwsm2011_cheng_footprints/  
主讲教师: Zhiyuan Cheng
开课单位: 德州农工大学
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
Foursquare、Gowalla和Facebook Places等位置共享服务(LSS)支持数亿用户驱动的足迹(即“签入”)。这些全球范围的足迹为研究人们如何使用这些服务的社会和时间特征以及人类流动模式提供了一个独特的机会,这是未来移动+基于位置的服务、交通预测、城市规划以及疾病流行病学模型设计的重要因素。E蔓延。在本文中,我们调查了220000个用户中2200万个签入,并通过分析与这些足迹相关的空间、时间、社会和文本方面,报告了对人类流动模式的定量评估。我们发现:(i)LSS用户遵循“EVY飞行”的流动模式并采取周期性行为;(i i)虽然地理和经济限制影响了流动模式,但个人的社会地位也影响了流动模式;(i i i)基于内容和情感的签到相关职位分析可以为更好地提供丰富的背景资源。了解用户如何使用这些服务。
课程简介: Location sharing services (LSS) like Foursquare, Gowalla, and Facebook Places support hundreds of millions of userdriven footprints (i.e., “checkins”). Those global-scale footprints provide a unique opportunity to study the social and temporal characteristics of how people use these services and to model patterns of human mobility, which are significant factors for the design of future mobile+location-based services, traffic forecasting, urban planning, as well as epidemiological models of disease spread. In this paper, we investigate 22 million checkins across 220,000 users and report a quantitative assessment of human mobility patterns by analyzing the spatial, temporal, social, and textual aspects associated with these footprints. We find that: (i) LSS users follow the “L`evy Flight” mobility pattern and adopt periodic behaviors; (ii) While geographic and economic constraints affect mobility patterns, so does individual social status; and (iii) Content and sentiment-based analysis of posts associated with checkins can provide a rich source of context for better understanding how users engage with these services.
关 键 词: 位置共享服务; 社会特性; 时间特性; 周期性行为
课程来源: 视频讲座网
最后编审: 2019-12-10:cwx
阅读次数: 37