Reblog: How to use phone calls and network analysis to identify criminals

January 13, 2015

Best practices, Methods, Tech Insight

An excellent, hands-on demonstration of the power of social network analysis (SNA) via graph analytics to detect criminality from colleagues at Linkurious and a U.S.-based police detective:

http://linkurio.us/how-to-use-phone-calls-and-network-analysis-to-identify-criminals/

SNA at times can seem too theoretical to stakeholders – this is an excellent example of a hands-on, engineering focused application with real practical value.  Applies Neo4J graph database technology.

How to use phone calls and network analysis to identify criminals?

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About SARK7

Scott Allen Mongeau (SARK7) is an INFORMS Certified Analytics Professional (CAP) and a Data Scientist in the Cybersecurity business unit at SAS Institute. Scott has over 20 years of experience in project-focused analytics functions in a range of industries, including IT, biotech, pharma, materials, insurance, law enforcement, financial services, and start-ups. Scott is a part-time PhD (ABD) researcher at Nyenrode Business University. He holds a Global Executive MBA (OneMBA) and Masters in Financial Management from Erasmus Rotterdam School of Management (RSM). He has a Certificate in Finance from University of California at Berkeley Extension, a MA in Communication from the University of Texas at Austin, and a Graduate Degree (GD) in Applied Information Systems Management from the Royal Melbourne Institute of Technology (RMIT). He holds a BPhil from Miami University of Ohio. Having lived and worked in a number of countries, Scott is a dual American (native) and Dutch citizen. He may be contacted at: webmaster@sark7.com All posts are copyright © 2015 SARK7 All external materials utilized imply no ownership rights and are presented purely for educational purposes.

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