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Applied Social Network Analysis in Python, Université du Michigan

1,056 notes
181 avis

À propos de ce cours

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python....

Meilleurs avis

par JL

Sep 24, 2018

It was an easy introductory course that is well structured and well explained. Took me roughly a weekend and I thoroughly enjoyed it. Hope the professor follows up with more advanced material.

par CG

Sep 18, 2017

Excellent tour through the basic terminology and key metrics of Graphs, with a lot of help from the networkX library that simplifies many, otherwise tough, tasks, calculations and processes.

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175 avis

par Ana Maria Lopez Moreno

Apr 15, 2019

Excellent course.

par Keqi Liu

Apr 14, 2019

Interesting slides and knowledge. e.g. Page rank is super cool!!!!

par Jose Ángel Pereira López

Apr 10, 2019

Buen curso para empezar con redes

par Lee Chiau Hung

Apr 04, 2019

Awesome course!!! Helped me a lot to get started with graph analysis

par Daniel Burfoot

Apr 02, 2019

Great introduction to social graph analysis, along with a very useful and popular Python package NetworkX.


Apr 01, 2019


par Christian Eduarte

Mar 27, 2019

Very new on this topic and very interesting

par Roberto Leon Leyva

Mar 26, 2019

It was a wonderful course, linked network's models and machine learning.

par Agnes He

Mar 23, 2019

Great course. The lectures are taught clearly. The knowledge gained in this course is very useful in real world.


Mar 12, 2019

Gave me a very good understanding of the basic concepts