迈向协作的地理社会分析工作台

A. Croitoru, A. Stefanidis, Jacek R. Radzikowski, A. Crooks, J. Stahl, N. Wayant
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引用次数: 17

摘要

社交媒体贡献是人类作为传感器、参与活动、对事件作出反应和报告被认为重要的问题的表现。收集这些信息提供了一个独特的机会来监控人类景观,并获得无与伦比的态势感知,特别是当它与社会文化动态相关时。然而,这需要出现一种新的地理社会分析范式。为了实现这一目标,在本文中,我们提出了一个协作式地理社会分析框架,该框架是围绕从社交媒体提要(从twitter和flickr开始)收集数据以及协作式地理社会分析工作台(G-SAW)的概念而设计的。我们提出了该框架的关键概念和早期测试实施结果,以证明G-SAW框架在增强态势感知方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a collaborative geosocial analysis workbench
Social media contributions are manifestations of humans acting as sensors, participating in activities, reacting to events, and reporting issues that are considered important. Harvesting this information offers a unique opportunity to monitor the human landscape, and gain unparalleled situational awareness, especially as it relates to sociocultural dynamics. However, this requires the emergence of a novel GeoSocial analysis paradigm. Towards this goal, in this paper we present a framework for collaborative GeoSocial analysis, which is designed around data harvesting from social media feeds (starting with twitter and flickr) and the concept of a collaborative GeoSocial Analysis Workbench (G-SAW). We present key concepts of this framework, and early test implementation results in order to demonstrate the potential of the G-SAW framework for enhanced situational awareness.
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