Social and Economic Networks: Models and Analysis

Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.

Review by A+BE PhD candidate
'Although I would highly recommend this course since I used it as discipline-related course to enrich my research, I acknowledge that it is not targeted to PhD candidates from Architecture. Coursera platform focuses mostly on subjects of Computer Science. The course is at MSc level and from a North American university with good reputation.

"Social and Economic Networks" is both content- and methodology-oriented. It gives an overview of Network Theory. The instructor uses formulas, terminologies and mathematical theories. Also, this course offers many empirical examples to apply the theories so as to learn critically. The course is valuable to researchers who intent to use graphs, networks or similar types of models.'                    

Course at a Glance

MOOC provider
Coursera

University
Stanford University

Level
MSc

Duration
9 weeks

Courseload
3-6 hours/week

Description
Link to Coursera

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