Exploring Network Clusters in Python

Anand S (~anand40)


Description:

Network clustering is a powerful way of exploring social networks.

Take any social network. Say actors who act together. Or words that are similar. Or people who email each other. Or products that are bought together.

Clustering the network gives us sub-groups within the network -- like actors who generally act together, products that are often bought together, etc.

Network cluster

This session explores popular network clustering algorithms (using scikit-network) on real-world datasets ranging from Hollywood to The Mahabharatha.

Prerequisites:

Working knowledge of Python

Content URLs:

This talk will cover some of the material in these links:

  • https://github.com/sanand0/jolie-no-1/
  • http://www.s-anand.net/blog/jolie-no-1/
  • https://gramener.com/codersearch/#lang=&city=Bangalore%2C+Singapore+&color=city&size=5&gap=50
  • https://gramener.com/mahabharatha/closeness

Speaker Info:

Anand is a co-founder of Gramener, a data science company. He leads a team that automates insights from data and narrates these as visual data stories. He is recognized as one of India's top 10 data scientists and is a regular TEDx and PyCon speaker.

More importantly, he has hand-transcribed every Calvin & Hobbes strip ever and dreams of watching every film on the IMDb Top 250.

He blogs at http://s-anand.net.

Speaker Links:

  • Past talks: https://bit.ly/anandtalks

Section: Data Science, Machine Learning and AI
Type: Talks
Target Audience: Intermediate
Last Updated: