Practical Graph Theory: Applications to Real World Problems with Python

by Tyler Foxworthy, Chief Data Scientist, KSM Consulting

Tyler FoxworthyGraph theory is a mathematical framework for analyzing the connections between people, places, and things. In data science practice, graph theory has numerous applications ranging from fraud detection to natural language processing. In this talk, I will provide a high level introduction to graph theory and demonstrate the use of the Python igraph package along with scikit-learn to identify topic models in natural language texts.

[DavidPoole_The_]

Great talk. Fun to see how useful the results were! Thanks also for the book recommendations.

[tijptjik]

Interesting method to algorithmically determine the similarity cut-off point. Though wouldn't you want the cut-off to be at the point where the 'similarity bump' rejoins the overall distribution instead of the bump's peak? Either way, looking forward to your publication!

[chrisredwine]

Why not just use a weighted adjacency matrix to build the graph to run the community detection on, and thus avoid having to draw a line in the sand to determine binary similarity?

[darchcruise]

Tyler Foxworthy - Can you turn this work in a course on Udemy. Broken up into 3 sections: Beginner, Intermediate, and Advanced. Please let me know. Thanks!

[agroasesor]

A big HELLO from COLOMBIA. I work with Dairy Cattle and I have been the author of one PHP development....is possible to move to Python?....how about the security?....is possible to "hide" code? and WILL YOU COME TO COLOMBIA????....
Have you created any REAL web page? a lot of people want to do you ask to come?
Sir, do you know a good and reponsible Python developer here in COLOMBIA, please?. What do you ask in order to come?
Thanks in advance.

[michaelreeves]

If only he hadn't said "um" quite so often, then I might not have had to speed this up.