EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS
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 informati...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-10-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W3/115/2014/isprsarchives-XL-2-W3-115-2014.pdf |
| _version_ | 1818139843160440832 |
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| author | M. Forghani F. Karimipour |
| author_facet | M. Forghani F. Karimipour |
| author_sort | M. Forghani |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-11T10:34:32Z |
| format | Article |
| id | doaj.art-4ce5b7b1e6ea4995997164bb421a5b20 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-11T10:34:32Z |
| publishDate | 2014-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-4ce5b7b1e6ea4995997164bb421a5b202022-12-22T01:10:45ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342014-10-01XL-2/W311512010.5194/isprsarchives-XL-2-W3-115-2014EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKSM. Forghani0F. Karimipour1Department of Surveying and Geomatic Engineering, College of Engineering, University of Tehran, Tehran 14174, IranDepartment of Surveying and Geomatic Engineering, College of Engineering, University of Tehran, Tehran 14174, IranAccessibility 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.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W3/115/2014/isprsarchives-XL-2-W3-115-2014.pdf |
| spellingShingle | M. Forghani F. Karimipour EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS |
| title_full | EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS |
| title_fullStr | EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS |
| title_full_unstemmed | EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS |
| title_short | EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS |
| title_sort | extracting human behavioral patterns by mining geo social networks |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W3/115/2014/isprsarchives-XL-2-W3-115-2014.pdf |
| work_keys_str_mv | AT mforghani extractinghumanbehavioralpatternsbymininggeosocialnetworks AT fkarimipour extractinghumanbehavioralpatternsbymininggeosocialnetworks |