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Social Network Analysis

Learn to analyze and visualize social networks using computational methods and modern analytical tools.

Learn to analyze and visualize social networks using computational methods and modern analytical tools.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Computational Social Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.7

(228 ratings)

15,810 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 3 more

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Social Network Analysis

This course includes

10 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Define and analyze network structures and relationships

  • Visualize and interpret social network data

  • Understand network evolution and growth mechanisms

  • Apply network analysis to real-world case studies

Skills you'll gain

Network Analysis
Data Visualization
Graph Theory
Social Network Metrics
Community Detection
Network Dynamics
Data Wrangling
Network Centrality
Influence Analysis
Network Evolution

This course includes:

5.3 Hours PreRecorded video

5 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

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Certificate

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There are 5 modules in this course

This comprehensive course introduces the science of social networks through computational methods. Students learn to formalize, analyze, and visualize network structures using modern tools. The curriculum covers network fundamentals, metrics, centrality measures, and community detection. Through hands-on labs and case studies, learners explore network evolution, efficiency, and prediction methods while developing practical skills in network analysis software.

Getting Started and Formalizing Networks

Module 1 · 2 Hours to complete

Social Network Analysis

Module 2 · 1 Hours to complete

Analyzing a Network with Software

Module 3 · 3 Hours to complete

Network Evolution

Module 4 · 1 Hours to complete

Growing Networks and Making Predictions

Module 5 · 1 Hours to complete

Fee Structure

Instructor

Martin Hilbert
Martin Hilbert

4.8 rating

64 Reviews

62,338 Students

9 Courses

Leading Expert in Computational Social Science at UC Davis

Professor Martin Hilbert is a distinguished academic at the University of California, Davis, where he serves as the Chair of the Department of Computational Social Science. His research focuses on the impact of digital information and algorithms within complex social systems. Dr. Hilbert holds dual doctorates in Economics and Social Sciences (2006) and in Communication (2012), and he is affiliated with both the Communication and Computer Science departments at UC Davis. He is widely recognized for his groundbreaking study that quantified the amount of information in the world and for designing the first digital action plan in collaboration with Latin American and Caribbean governments at the United Nations. Additionally, he was one of the first to raise concerns about Cambridge Analytica's influence on elections before the scandal emerged. Prior to his academic career, Dr. Hilbert worked for 15 years as an Economic Affairs Officer at the United Nations, where he developed the Information Society Program for Latin America and the Caribbean, providing technical assistance to over 20 countries. His extensive research has been published in prestigious journals such as Science and World Development, and he is frequently featured in major media outlets including The Wall Street Journal and NPR. Fluent in five languages and having lived on four continents, Dr. Hilbert brings a truly international perspective to his work, having traveled to over 70 countries throughout his career.

Social Network Analysis

This course includes

10 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.