NDLI: EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS

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EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS

Content Provider	Scilit
Author	Forghani, M. Karimipour, F.
Copyright Year	2014
Description	Accessibility of positioning technologies such as GPS offer the opportunity to store one's travel experience and publish it on the web. Using this feature in web-based social networks and considering location information shared by users as a bridge connecting the users' network to location information layer leads to the formation of Geo-Social Networks. The availability of large amounts of geographical and social data on these networks provides rich sources of information that can be utilized for studying human behavior through data analysis in a spatial-temporal-social context. This paper attempts to investigate the behavior of around 1150 users of Foursquare network by making use of their check-ins. The authors analyzed the metadata associated with the whereabouts of the users, with an emphasis on the type of places, to uncover patterns across different temporal and geographical scales for venue category usage. The authors found five groups of meaningful patterns that can explore region characteristics and recognize a number of major crowd behaviors that recur over time and space.
Ending Page	120
Page Count	6
Starting Page	115
e-ISSN	21949034
DOI	10.5194/isprsarchives-xl-2-w3-115-2014
Journal	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume Number	XL-2/W3
Language	English
Publisher	Copernicus GmbH
Publisher Date	2014-10-22
Access Restriction	Open
Subject Keyword	Cybernetical Science Analysis in a Spatial Location Information Human Behavioral
Content Type	Text
Resource Type	Article

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