Word Adjacency Graph Modeling: Separating Signal From Noise in Big Data
dc.contributor.author | Miller, Wendy R. | |
dc.contributor.author | Groves, Doyle | |
dc.contributor.author | Knopf, Amelia | |
dc.contributor.author | Otte, Julie L. | |
dc.contributor.author | Silverman, Ross D. | |
dc.contributor.department | School of Nursing | en_US |
dc.date.accessioned | 2019-02-21T20:44:19Z | |
dc.date.available | 2019-02-21T20:44:19Z | |
dc.date.issued | 2017-01 | |
dc.description.abstract | There is a need to develop methods to analyze Big Data to inform patient-centered interventions for better health outcomes. The purpose of this study was to develop and test a method to explore Big Data to describe salient health concerns of people with epilepsy. Specifically, we used Word Adjacency Graph modeling to explore a data set containing 1.9 billion anonymous text queries submitted to the ChaCha question and answer service to (a) detect clusters of epilepsy-related topics, and (b) visualize the range of epilepsy-related topics and their mutual proximity to uncover the breadth and depth of particular topics and groups of users. Applied to a large, complex data set, this method successfully identified clusters of epilepsy-related topics while allowing for separation of potentially non-relevant topics. The method can be used to identify patient-driven research questions from large social media data sets and results can inform the development of patient-centered interventions. | en_US |
dc.eprint.version | Author's manuscript | en_US |
dc.identifier.citation | Miller, W. R., Groves, D., Knopf, A., Otte, J. L., & Silverman, R. D. (2017). Word adjacency graph modeling: Separating signal from noise in big data. Western journal of nursing research, 39(1), 166-185. https://doi.org/10.1177/0193945916670363 | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/18439 | |
dc.language.iso | en | en_US |
dc.publisher | Sage | en_US |
dc.relation.isversionof | 10.1177/0193945916670363 | en_US |
dc.relation.journal | Western Journal of Nursing Research | en_US |
dc.rights | Publisher Policy | en_US |
dc.source | Author | en_US |
dc.subject | epilepsy | en_US |
dc.subject | Big Data | en_US |
dc.subject | methods | en_US |
dc.title | Word Adjacency Graph Modeling: Separating Signal From Noise in Big Data | en_US |
dc.type | Article | en_US |