Generating Dynamic Social Networks from Large Scale Unstructured Data
Publisher: O'Reilly Media
Final Release Date: March 2011
Run time: 0 hours 41 minutes

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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