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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| Language: | Inglés |
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O'Reilly Media, Inc
2011.
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| Edition: | 1st edition |
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629094006719 |
| Summary: | 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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| Item Description: | Title from title screen. |
| Physical Description: | 1 online resource (1 video file, approximately 42 min.) |
