Implementation and application of graph theory, social network mining, reinforcement learning, and inverse reinforcement learning.
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Updated
Sep 27, 2021 - Jupyter Notebook
Implementation and application of graph theory, social network mining, reinforcement learning, and inverse reinforcement learning.
Predicting new link, detecting communities on Amazon Product Co-Purchasing Network. Recommending books based on the underlying network related information. Demo Video Link -
Implementation of Girvan-Newman Algorithm using Brandes Algorithm for Community/cluster finding
New implementation of the Girvan-Newman edge-betweenness' algorithm and study of the clustering structure through modularity. Based on "A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks", by Liu and others
Community Detection Analysis in Word Association Network using igraph R Library
Detecting communities inside the coappearance network of characters in the novel Les Misérables.
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