The hottest Substack posts of Graphs For Science

And their main takeaways
52 implied HN points 24 Feb 24
  1. k-Core Decomposition is a way to explore the structure of networks by identifying the largest subgraph where every node has a specified minimum degree.
  2. The k-Core Decomposition algorithm involves recursively removing nodes with degrees lower than a specified threshold to reveal the k-core and k-shell structure of a graph.
  3. The degree of a node in a k-core doesn't have an upper limit, providing unique insights into network connectivity beyond traditional degree-based analysis.
0 implied HN points 17 Feb 24
  1. The post announces a new Graphs For Data Science subscriber chat on Substack for exclusive conversations and updates.
  2. To join the chat, download the Substack app, available for both iOS and Android, and turn on push notifications to stay updated on conversations.
  3. Getting started involves downloading the app, opening it, tapping the Chat icon, and joining the thread to engage with others.