The popularity of online social networks has grown at an exponential scale since they connect people all over the world enabling them to remain in touch with each other despite the geographical distance among them. These networks are a source of enormous amount of data that can be analyzed to make informed decisions on a variety of aspects, ranging from addressing societal problems to discovering potential security and terrorism-related events. Unfortunately, most efforts at analyzing such data tend to be offline, which may not be useful when actions must be taken in a timely fashion or the volume of generated data overwhelms computation, storage and networking resources. This Masters thesis investigates novel mechanisms for online processing of social network data. To validate the ideas, this thesis uses the LDBC social network benchmark provided as a challenge problem at the ACM Distributed and Event-based Systems (DEBS) conference, and demonstrates the techniques developed to address the first query from the challenge problem. The thesis will discuss the architectural choices we made in developing an online social network analysis solution.
| Identifer | oai:union.ndltd.org:VANDERBILT/oai:VANDERBILTETD:etd-07212016-131827 |
| Date | 22 July 2016 |
| Creators | Liu, Lian |
| Contributors | Aniruddha Gokhale, Abhishek Dubey |
| Publisher | VANDERBILT |
| Source Sets | Vanderbilt University Theses |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.library.vanderbilt.edu/available/etd-07212016-131827/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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