Social Network Analysis
Offered By: University of Michigan via Coursera
Course Description
Overview
Explore the fascinating world of social network analysis in this 5-week course, delving into topics such as random graph models, centrality, community structure, small world networks, and processes on networks. Discover cool and unusual applications while learning about network resilience. Dedicate 5-7 hours per week to gain a comprehensive understanding of how social networks function and impact various aspects of our interconnected world.
Syllabus
Week 1. Introduction
Week 2. Random Graph Models
Week 3. Centrality
Week 4. Community structure
Week 5. Small world networks
Week 6. Processes on networks
Week 7. Cool and unusual applications
Week 8. Network resilience
Taught by
Lada Adamic
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