Data science in practice: Examining events in social media
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.
| Talk Title | Data science in practice: Examining events in social media |
| Speakers | Jennifer Webb (SuprFanz) |
| Conference | Strata Data Conference |
| Conf Tag | Big Data Expo |
| Location | San Jose, California |
| Date | March 6-8, 2018 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
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:
