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Introduction to Social Network Analysis - Online Course

A 3-Day Livestream Seminar Taught by

Filip Agneessens
Course Dates:

Thursday, October 24 –
Saturday, October 26, 2024

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

10:00am-12:30pm ET (convert to your local time)
1:30pm-3:30pm ET

Watch Sample Video

Interest in social networks has been climbing exponentially since the 1970s. For social scientists, networks can be seen as a fundamental adaptation that facilitates the coordination and distribution of resources, while simultaneously maintaining the flexibility of independent agents. For physical scientists, networks can be seen as universal structures underlying everything from molecules to galaxies. And for mathematicians and computer scientists, networks provide an abstract and propitious way of representing problems.

The field of social network analysis consists of a vocabulary of theoretical and mathematical concepts for investigating network phenomena, along with a distinctive data model and set of methodologies for collecting and analyzing network data. This course provides an overview of the core concepts and methods in social network analysis.

Starting October 24, 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. Captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

More details about the course content

Computing

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Seminar outline

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“Professor Filip Agneessens is very knowledgeable in the field of social network analysis."

“Professor Filip Agneessens is very knowledgeable in the field of social network analysis. He is not only friendly when responding to students’ questions but was also excellent in engaging students in critical thinking. His presentation slides were beautifully designed and neatly organized through the course.”

Zhi Pan

University of Rochester

“I liked that the instructor used a lot of concrete examples to illustrate the concepts."

“I liked that the instructor used a lot of concrete examples to illustrate the concepts. Dr. Agneessens was very clear and was great about answering questions.”

Nancy Garon

Mount Allison University

"This was the first course I've taken about social network analysis where I felt like things clicked and I really understood the core concepts."

The instructor really took the time to answer everyone’s questions. He was very patient, friendly, and made me feel at ease. Most importantly, I never felt afraid to ask questions because I knew he would be respectful and answer them no matter how basic they were. This was the first course I’ve taken about social network analysis where I felt like things clicked and I really understood the core concepts. Learning more about the sna and igraph packages in R was a great bonus to further my knowledge about R so that I can try to apply what I learned to future research projects. 

Megan Strowger

Old Dominion University

“I enjoyed the breadth of constructs that we covered and the R scripts to compute the different measures studied."

I enjoyed the breadth of constructs that we covered and the R scripts to compute the different measures studied. Filip was very clear and was also really good at monitoring the chat during the lectures so that people could get their questions answered in realtime. 

Oriane Georgeac

Yale School of Management

"Dr. Agneessens was very clear and his slides were excellent.”

“The instructor was excellent! Dr. Agneessens was very clear and his slides were excellent.”

Jeffrey Campbell

Boston University

Dr. Filip Agneessens is a true professor and outstanding researcher."

“Dr. Filip Agneessens is a true professor and outstanding researcher. A lot of good quality content and experience was delivered to us in 14 hours. In addition, he spent a lot of time answering our questions and summarizing the concepts before starting each session. The R scripts were very well organized and explained during each session.

Jose Lorenzo Silva-Lugo

University of Florida

"I really appreciated the detailed explanation of methods..."

“I really appreciated the detailed explanation of methods and deeper thought about the theory behind each metric. I also appreciate the fact that the recordings were available for a while right after the course finished.” 

Luisa Fontoura

Macquarie University

"The teacher was great..."

“I think this seminar was very well planned and taught. The teacher was great and explained things very well.” 

Dana Katsoty

Hebrew University of Jerusalem