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.
Scott Allen Mongeau (@SARK7), an INFORMS Certified Analytics Professional (CAP), is a researcher, lecturer, and consulting Data Scientist. Scott has over 30 years of project-focused experience in data analytics across a range of industries, including IT, biotech, pharma, materials, insurance, law enforcement, financial services, and start-ups. Scott is a part-time lecturer and PhD (abd) researcher at Nyenrode Business University on the topic of data science. 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 and Dutch citizen. He may be contacted at: webmaster@sark7.com LinkedIn: https://www.linkedin.com/in/smongeau/ Twitter: @sark7 Blog: sctr7.com Web: www.sark7.com All posts are copyright © 2020 SARK7 All external materials utilized imply no ownership rights and are presented purely for educational purposes.
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SCTR7: Data Science and Analytics 
January 13, 2015
Best practices, Methods, Tech Insight