Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Data science in practice: Examining events in social media

Jennifer Webb (SuprFanz)
2:00pm2:30pm Tuesday, March 6, 2018
Law, ethics, and governance
Location: LL20 B
Secondary topics:  Graphs and Time-series

Jennifer Webb explains how cloud-based marketing company SuprFanz uses data science techniques and graph theory with Neo4j to generate live event attendance from social media platforms, email, and SMS to gain better insight into the behavior of music fans, event guests, and target audiences and predictive analytics to optimize promotional efforts. She also offers an overview of the unique technologies SuprFanz uses to drive traffic to events via social media. Join in to learn about applied graph theory, exploring triadic closures, degrees of centrality, betweenness centrality, cliques, and eigenvector centrality in a fun and practical way.

Topics include:

  • Predicting returning RSVPs
  • Identifying network influencers
  • Identifying communities within the social network or “scenes”
  • Discovering the SuprFanz
Photo of Jennifer Webb

Jennifer Webb


Jennifer Webb is vice president of development and operations at SuprFanz. Jennifer has over 10 years experience as a website and application developer for large and small companies, including major banks, and as a keyboardist in rock bands in Toronto, Calgary, and Vancouver.