Graduation Year
2010
Document Type
Thesis
Degree
M.S.C.S.
Degree Granting Department
Computer Science
Major Professor
Adriana Iamnitchi, Ph.D.
Committee Member
Cristian Borcea, Ph.D.
Committee Member
Jay Ligatti, Ph.D.
Keywords
Data Management, Peer-to-Peer Systems, Social Graph, Socially-Aware Applications, Privacy Protection
Abstract
Applications and services that take advantage of social data usually infer social relationships using information produced only within their own context, using a greatly simplified representation of users' social data. We propose to combine social information from multiple sources into a directed and weighted social multigraph in order to enable novel socially-aware applications and services. We present GeoS, a geo-social data management service which implements a representative set of social inferences and can run on a decentralized system. We demonstrate GeoS' potential for social applications on a collection of social data that combines collocation information and Facebook friendship declarations from 100 students. We demonstrate its performance by testing it both on PlanetLab and a LAN with a realistic workload for a 1000 node graph.
Scholar Commons Citation
Anderson, Paul, "GeoS: A Service for the Management of Geo-Social Information in a Distributed System" (2010). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/1561
