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
Tags
Related Courses
Intro to AlgorithmsUdacity 人群与网络
Peking University via Coursera Capstone: Analyzing (Social) Network Data
University of California, San Diego via Coursera The Power of Social Media
University of Southampton via FutureLearn Applied Social Network Analysis in Python
University of Michigan via Coursera