Social Network Analysis Workshop

May 15, 2018 · Laurel, United States of America

Social network analysis (SNA) utilizes complex graphs and networks to investigate social structures such as social media networks. SNA has become an important tool for researching behavior in fields such finance, national security, marketing and health. Please join us in May to learn the basics of SNA and how you too can perform SNA using various open source packages.

6:30 PM -- Networking & Food

7:00 PM -- Greetings

7:05 PM -- Social Network Analysis Workshop - Dr. Ian McCulloh

This auditorium is in Building 1, Room S124. Please note, this is not in the normal APL building we meet in.

Social Network Analysis Workshop
This talk will be a workshop featuring an overview of basic theory and methods for social network analysis and an introduction to igraph. The first half of the talk will be a discussion of the concepts and the second half will feature code examples and demonstrations.

Igraph is a package in R, Python, and C++ that supports social network analysis and network data visualization.

Ian McCulloh holds joint appointments as a Parson’s Fellow in the Bloomberg School of Public health, a Senior Lecturer in the Whiting School of Engineering and a senior scientist at the Applied Physics Lab, at Johns Hopkins University. His current research is focused on strategic influence in online networks. His most recent papers have been focused on the neuroscience of persuasion and measuring influence in online social media firestorms. He is the author of “Social Network Analysis with Applications” (Wiley: 2013), “Networks Over Time” (Oxford: forthcoming) and has published 48 peer-reviewed papers, primarily in the area of social network analysis. His current applied work is focused on educating soldiers and marines in advanced methods for open source research and data science leadership.

More information about Dr. Ian McCulloh's work can be found at

Event organizers
  • Data Science MD

    The Data Science MD meetup is intended to be a gathering of professionals, students, and enthusiasts living and working in the Maryland area to discuss diverse topics related to data science. We aim to have frank discussions on all topics related to the field of data analytics. No subject is too big or too small, as we believe analytics can operate on any scale. We plan to mix education with practical examples, helping members make the most of their time. To send suggestions, comments or to inquiry about p

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