Social Network Analysis

Social Network Analysis is a powerful analytical approach that investigates social structures through the lens of networks and graph theory. Coursera's Social Network Analysis catalogue teaches you to examine complex systems by characterizing networked structures in terms of nodes (individual actors or entities) and the ties or edges (relationships or interactions) that connect them. You'll learn to apply various metrics and techniques, including centrality measures, clustering coefficients, and community detection algorithms, to uncover patterns in social media networks, organizational structures, and information flow. Mastering Social Network Analysis empowers you to gain valuable insights into human behavior, organizational dynamics, and information dissemination, making it an essential skill for data scientists, sociologists, and business analysts in today's interconnected world.
13credentials
4online degrees
48courses

Most popular

Trending now

New releases

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "social network analysis"

What brings you to Coursera today?

Leading partners

  • Johns Hopkins University
  • University of California San Diego
  • University of Michigan
  • University of California, Davis
  • Stanford University
  • Tecnológico de Monterrey
  • Radio y Televisión Española
  • Universidad de los Andes