2014/Network Science for Fun and Profit

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Understanding the relationships between data elements has become increasingly valuable, as LinkedIn, Facebook and Google illustrate. Network science provides a means to understand, explain, predict and otherwise utilize these relationships. I will provide a brief overview of network science, with examples and illustrations using R/Python, focused on providing an entry point to their use for fun and profit.

Speaker: John Taylor

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Contributed notes

Mentioned in QA session: neo4j graph database.

Additional References

In addition to the books, packages/software and data sources provided in the slides (and code), attendees may be interested in following network science pioneers

and subscribing to