Social Network Analysis
This course is intended to'make a science' out of something at the heart of society: social networks. Humans are natural network scientists because they compute new network configurations all the time, almost unconsciously, when thinking about friends and family (which are specific types of social networks), colleagues and organizational relations (other, overlapping network structures), and how to navigate delicate or opportunistic network configurations to save guard or advance in the social standing (with society being one big social network itself).
While such network structures have always existed, computational social science has assisted in revealing and studying them more thoroughly. The first part of the course will concentrate on network structure. This appears in the form of static snapshots of networks, which can be complex and reveal important aspects of social systems. You will also visualize and analyze a network using software in the hands-on lab, which will help you appreciate the complexity that social networks can take on. The second part of the course will examine how networks evolve over time. You will learn how to predict the type of network that will form and whether and how you can influence network dynamics.
This course offers:
- Flexible deadlines: Reset deadlines based on your availability.
- Shareable certificate: Get a Certificate when you complete
- 100% online
- Course 3 of 5 in the Computational Social Sciences Specialization
- Beginner level
- Approx. 10 hours to complete
- Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Course ratings: 4.7/5
Enroll here: https://www.coursera.org/learn/social-network-analysis
