Generating dynamic social networks from large scale unstructured data [electronic resource] / Tim Estes.
Series: Safari Books Online2011Description: 1 streaming video file (41 min., 39 sec.) : digital, sd., colSubject(s): Genre/Form: Online resources: 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." --Resource description page.
eBooks
Title from title screen.
Recorded at O'Reilly strata making data work conference: Feb. 1-3, 2011, Santa Clara, Calif.
"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." --Resource description page.
Electronic reproduction. Boston, Mass. : Safari Books Online, 2011 Mode of access: World Wide Web. Available to subscribing institutions. s2011 maun s