University of Ottawa - Carleton University
Ottawa-Carleton Institute for Computer Science (OCICS) Presentation
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March 1, 2013 @ 10:00a.m.
Data dissemination in Location Aware Social Networks
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Speaker: Bindra Jaspreet
Location: CBY A707 (Colonel By building) |
ABSTRACT
Humans live a social life and with the growing technology we are able to see our social life and how it works. Location Based Social Networks such as Facebook, Gowalla, Foursquare, etc are trying to bridge the gap between online social networks and actual human social networks. This seminar aims to shed some light on opportunistic networks which are the backbone for todayâs social networks. For any social network user interaction, community detection, data transfer are crucial, generally communities in real world are formed on the basis of similar interests, hobbies, jobs, etc. To link this notion with locations, every location has a certain nature, like University links people who are interested in studies, subjects and qualifications; a stadium would link people interested in sports, etc. To use human activities to the best of our capability and form this raw data into valuable information for better data dissemination in a social network is important. Our research plans to collect a dataset that comprises of User location, time, duration of stay, frequency of being at the location, user interaction and extract information out of this dataset. Hence this information generates two levels of graphs/communities: Location graph/Community and User graph/Community. Former approaches have worked with User graph/community, adding another layer reduces the complexity of data dissemination and improves applications centered around human life like commerce, QoS, etc. |
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