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Introduction to Social Network Analysis - Online Course

A 3-Day Livestream Seminar Taught by

jimi adams
Course Dates:

Thursday, September 29 –
Saturday, October 1, 2022

Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:00am-12:30pm (convert to your local time) Thursday-Saturday
1:30pm-4:00pm Thursday, 1:30pm-3:30pm Friday & Saturday

Given that networks are everywhere, scholars have developed a wide range of strategies for studying them. This course lays the groundwork for introductory concepts in social network analysis (SNA). SNA’s focus on relational data forces adaptation to analytic approaches ranging from data collection and storage to descriptive and inferential statistics. This course will focus primarily on the breadth of descriptive statistics employed in SNA, sampling from each statistical “family” of measures, employing a conceptual/mathematical perspective, illustrated with empirical examples, and implementing computation (in R).

This approach leverages two organizing principles: (1) the two primary theoretical frameworks capturing reasons networks “matter”; and (2) how each class of measures can be applied across different units of analysis: individuals, groups and “whole” networks. The topics covered will be: data structure, homophily, social balance, local network composition, centralities, subgroup cohesion, network clustering (“communities”), and equivalence. While by no means exhaustive, this approach will develop your beginning SNA toolkit.

Starting September 29, we are offering this seminar as a 3-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions.

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