Increasing Spatial Awareness by Integrating Internet Geographic Information Services (GIServices) with Real Time Wireless Mobile GIS Applications

Tsou, Ming‐Hsiang; Kim, Ick Hoi

doi:10.4018/jsita.2010100103

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Using social networks on mobile platforms is a “game changer.” Mobile social networks allow users to create data immediately and on-site rather than waiting until they arrive at their computer (e.g., their residence, Internet cafes, or workplace). Moreover, mobile platforms include technologies that allow a reasonable estimate of the platforms location (Tsou & Kim, 2010; Xue, Cracknell, & Guo, 2002). These technologies include identifying the serving WiFi hot spot, positioning through radio frequency range estimation respective to WiFi hot spots and cellular base stations, and obviously the most common global positioning system (GPS) which has a de facto standard in mobile platforms.…”

Section: Introductionmentioning

confidence: 99%

Identifying and Tracking Major Events Using Geo-Social Networks

Bahir

Peled

2013

Social Science Computer Review

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In recent years, several technological advancements have changed the lives of millions throughout the globe. These include broadband Internet wireless access, advanced mobile platforms and smartphones including accurate global positioning system capabilities, and the introduction of social networks. The fusion of these technological advances led to the massive adoption of mobile platform-operated social networking applications and unleashed new real-time and on-site social information. The ability to generate content anywhere and anytime leads to a detectable projection of real-life events on geo-social networks (GSN). For example, in preparation for a rally, the geo-social activity may precede the actual event, allowing predictive capabilities. Alternatively, in a natural event such as a wildfire, early content generated in the proximity of the event may allow early identification of the event and the assessment of its physical boundaries. In this article, we propose to use the massive and rapidly accumulating information communicated within GSN to identify and track major events and present a proof of concept. We discuss means and methods to retrieve relevant information from the networks, through a set of adequate spatial, temporal, and textual filters. Our preliminary empirical results corroborate our assumptions and show that major events may have detectable “abnormal” impact on GSN activities, which allows prompt identification and real-time tracking. Our approach is expected to pave the way to the development of real-time systems and algorithms for early identification and geographical tracking of major events.

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Section: Introductionmentioning

confidence: 99%