Many small social aid organizations could benefit from collaborating with other organizations on common causes, but may not have the necessary social relationships. We present a framework for a recommender system for the Louisiana Poverty Initiative that identifies member organizations with common causes and aims to forge connections between these organizations. Our framework employs a combination of graph and text analyses of the organizations' Facebook pages.
We use NodeXL, a plugin to Microsoft Excel, to download the Facebook graph and to interface with SNAP, the Stanford Network Analysis Platform, for calculating network measurements. Our framework extends NodeXL with algorithms that analyze the text found on the Facebook pages as well as the connections between organizations and individuals posting on those pages.
As a substitute for more complex text data mining, we use a simple keyword analysis for identifying the goals and initiatives of organizations. We present algorithms that combine this keyword analysis with graph analyses that compute connectivity measurements for both organizations and individuals. The results of these analyses can then be used to form a recommender system that suggests new network links between organizations and individuals to let them explore collaboration possibilities.
Our experiments on Facebook data from the Louisiana Poverty Initiative show that our framework will be able to collect the information necessary for building such a user-to-user recommender system.
| Identifer | oai:union.ndltd.org:LSU/oai:etd.lsu.edu:etd-05252016-161222 |
| Date | 13 June 2016 |
| Creators | Jose, Neha Clare |
| Contributors | Baumgartner, Gerald, Livermore, Michelle M., Chen, Jianhua |
| Publisher | LSU |
| Source Sets | Louisiana State University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lsu.edu/docs/available/etd-05252016-161222/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached herein 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 LSU or its agents the non-exclusive license to archive and make accessible, under the conditions specified below and in appropriate University policies, 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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