Network Science for Fun and Profit

*
Proposal
Long Form
Intermediate

Excerpt

As data become more abundant, the relationships between data elements become more valuable. Network science is an interdisciplinary study of network representations which allow us to explain, predict and otherwise extract value from relationships in data. I will provide a brief overview of network science, with examples and illustrations using open source tools such as R, Gephi, and GraphChi.

Description

As data become more abundant, the relationships between data elements become more valuable. Network science is an interdisciplinary study of network representations which allow us to explain, predict and otherwise extract value from relationships in data. I will provide a brief overview of network science history, concepts and applications, including PageRank and community detection. Examples and illustrations will be presented with open source tools such as R, Gephi, and GraphChi.

Speaking experience

* I presented "Machine Learning in the Open" at OSB 2012 and "Data Science in the Open" at OSB 2011.
* I have presented at professional conferences before (at CMU, ANU, and Stanford).
* I regularly give presentations in the workplace and at meetup groups.

Speaker

  • Johntaylor

    John Taylor

    iovation

    Biography

    John L. Taylor works as a Senior Data Analyst at iovation and is a member of PDX R Users and PDX Hadoop/Data Science Groups. Formerly, he was a graduate student in Logic and Computation at CMU and has BAs in philosophy and psychology.

    John is, in no particular order and among other things, an aspiring polymath, intellectual magpie, cultural gadfly, father and husband, data geek, plain-old-geek, bibliophile, pop cultural glutton, recreational mathematician, and skeptic.