Generating Dynamic Social Networks from Large Scale Unstructured Data
Developing a social network map is fundamental to comprehensively understanding a person. Social networks are dynamic and better derived from real-world data than static configurations. However, the vast majority of this real world data is unstructured. This presentation will show how Synthesys uses...
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| Idioma: | Inglés |
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O'Reilly Media, Inc
2011.
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| Edición: | 1st edition |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629094006719 |
| Sumario: | Developing a social network map is fundamental to comprehensively understanding a person. Social networks are dynamic and better derived from real-world data than static configurations. However, the vast majority of this real world data is unstructured. This presentation will show how Synthesys uses very large scale unstructured data to create social network maps for reporting and further analysis. |
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| Notas: | Title from title screen. |
| Descripción Física: | 1 online resource (1 video file, approximately 42 min.) |
