SNA and Social Media Analytics with Python
In this workshop, we will learn how to harvest data from social media and other online sources, and analyze the social networks that emerge. We will use a variety of libraries to get data from Twitter and Facebook, save it to a database (MongoDB) and analyze it using NetworkX package.
This workshop will present a complete project from soup to nuts -- from harvesting data to visualization and presentation of the results. Participants will leave with an open-source toolkit to take home and adapt to their own work.
What you will need
- Please contact Maksim Tsvetovat (firstname.lastname@example.org) for background materials.
About the instructor
Maksim Tsvetovat is the author of Social Network Analysis for Startups (O'Reilly, #65 in top-100 books in data analysis). Having used SNA in the academic setting for over 15 years, Maksim has also built an extensive consulting practice applying SNA to solve serious problems for Fortune-100 companies (including American Express and Delta Airlines).
He is a founder of Open Cancer Network, a startup company disrupting the field of chronic disease management using patient engagement tools. Maksim brings a mix of academic, engineering, and business credentials to the table for a unique view on the field. He currently teaches Social Network Analysis and Computational Social Science at George Mason University.