2014/Network Science for Fun and Profit
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
Return to this session's details
Contributed notesMentioned in QA session: neo4j graph database.
and subscribing to
- The Central Node: A Network Science Information Aggregator.