University of California, Davis - Social Network Analysis
- Offered byCoursera
Social Network Analysis at Coursera Overview
Duration | 10 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Social Network Analysis at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 5 in the Computational Social Science Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 10 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Social Network Analysis at Coursera Course details
- This course is designed to quite literally ?make a science? out of something at the heart of society: social networks. Humans are natural network scientists, as we compute new network configurations all the time, almost unaware, when thinking about friends and family (which are particular forms of social networks), about colleagues and organizational relations (other, overlapping network structures), and about how to navigate delicate or opportunistic network configurations to save guard or advance in our social standing (with society being one big social network itself). While such network structures always existed, computational social science has helped to reveal and to study them more systematically. In the first part of the course we focus on network structure. This looks as static snapshots of networks, which can be intricate and reveal important aspects of social systems. In our hands-on lab, you will also visualize and analyze a network with a software yourself, which will help to appreciate the complexity social networks can take on. During the second part of the course, we will look at how networks evolve in time. We ask how we can predict what kind of network will form and if and how we could influence network dynamics.
Social Network Analysis at Coursera Curriculum
Getting Started and Formalizing Networks
What is this Specialization About?
Course Introduction
Social Equals Network
Nodes
Links
Nodes and/or Links
Strength of Ties
Formalizing Networks
About UCCSS
A Note From UC Davis
Module 1 Quiz
Social Network Analysis
Module Introduction
Network Jargon
Degrees
Roaming the Network
Communities
Triangles
Network Centrality (Part 1)
Network Centrality (Part 2)
Community Detection
Eigenvector Centrality
Three Kinds of Measures
Network Analysis Software
Optional/Complementary
Module 2 Quiz
Analyzing a Network with Software
Module Introduction
Data Wrangling
Network Measures (Part 1)
Network Measures (Part 2)
Influentials
Who's Influential?
Twitter Cascades
Base Rate
Modeling Influentials
Social Network Analysis - Getting Started
Social Network Analysis Lab Tutorial
Welcome to Peer Review Assignments!
Optional/Complementary
Module 3 Quiz
Network Evolution
How do Networks Evolve?
Network Dynamics
Network Hypotheses
Random Graphs
Tipping Points
Scale-Free Networks
Hybrid Models
Small World Networks
Module 4 Quiz
Growing Networks and Making Predictions
Module Introduction
Growing Efficient Networks (Part 1)
Growing Efficient Networks (Part 2)
Growing Stable Networks
Efficiency & Stability
Diffusion of Network
Diffusion Patterns
Computing Networks
Course Summary
Module 5 Quiz
Social Network Analysis at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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