Social Networks: A Fast Tour from People to Groups!

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Dear SPDC, we are slowly transitioning from Meetup to our new nvite Data Community DC page. To see event location details and RSVP, please navigate to: https://nvite.com/StatProgDC/zjqn9w . No RSVP's will be accepted on this meetup page.

Please join us for our next meetup next Tuesday 5/2 with Matt Hoover (https://www.linkedin.com/in/matthewahoover/) for an informative overview of social networks from basic measures to current analytic models. It will include visualizations, examples, and code (in Python and R). We'll start with types of networks, basic network measures (and how to calculate), then move on network structure and modeling, and conclude with how to build/make your own networks for practice and analysis.

Agenda:
6:30 - 7:00 food, drinks, meet people
7:00 - 7:15 Intros and announcements
7:15 - 8:30ish Presentation, Q&A
Off to data drinks

Bio:

Matthew Hoover (https://www.linkedin.com/in/matthewahoover/) is data scientist at Gallup, where he works with supervised and unsupervised learning methods, time series forecasting, and network analysis. Prior to joining Gallup, Matthew worked as a data scientist for a healthcare technology startup that used predictive modeling to estimate individual’s out-of-pocket healthcare costs under various insurance plans after fifteen years conducting and managing applied analytics in the international development sector. He has a PhD in public policy from the RAND Corporation where he focused on the statistical analysis of people’s social networks and how networks affected behavior change at the individual level.