AI SearchDisQover : location-based social network with content consolidation capability
Call Number: AIT Thesis no. IM-14-04 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. IM-14-04Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2014Description: 48 p. : illSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - Asian Institute of Technology, 2014 Summary: Nowadays the trend of social networking is thriving and a number of social network users, as we ll as mobile device users, keep increasing every year. People who use these services tend to have more than one account and use more than one social network. This makes user content scattered and fragmented across the sites. This study will introduce a fra mework to consolidate user content into a single place. And we will demonstrate the use and benefits of this framework through a location - based social network model application which we called DisQover . The exp ected virtues of this study can be beneficial to a variety of entities such as social network researchers, organizations, and data enthusiasts.
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Asian Institute of Technology Library Archives | AIT Thesis no. IM-14-04 (Browse shelf(Opens below)) | 1 | Available | 30050120401426 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology
Thesis (M.Sc.) - Asian Institute of Technology, 2014
Nowadays the trend of social networking is thriving and a number of social network users, as we ll as mobile device users, keep increasing every year. People who use these services tend to have more than one account and use more than one social network. This makes user content scattered and fragmented across the sites. This study will introduce a fra mework to consolidate user content into a single place. And we will demonstrate the use and benefits of this framework through a location - based social network model application which we called DisQover . The exp ected virtues of this study can be beneficial to a variety of entities such as social network researchers, organizations, and data enthusiasts.
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