Applied Social Network Analysis in Python
Completed by Jakob Laurens Johannes Maria Serlier
January 30, 2020
26 hours (approximately)
Jakob Laurens Johannes Maria Serlier's account is verified. Coursera certifies their successful completion of Applied Social Network Analysis in Python
What you will learn
Represent and manipulate networked data using the NetworkX library
Analyze the connectivity of a network
Measure the importance or centrality of a node in a network
Predict the evolution of networks over time
Skills you will gain
- Category: Network Model
- Category: Network Analysis
- Category: Social Network Analysis
- Category: Graph Theory
- Category: Python Programming
