Social Network Analysis and Visualization software application.

Smith-Pittman Community Detection Algorithm for 'igraph' Objects with R

Baseline Algorithms for Community Detection

A Python implementation of improved Label Propagation Algorithm.

Code and results of internship work performed by Carlos Vargas under supervision of Phd Rémy Cazabet, at LIRIS (https://liris.cnrs.fr/).

Large-Scale Network Community Detection Using Similarity-Guided Merge and Refinement

Community detection algorithms on custom twitter hashtag networks

Super.Complex is a supervised machine learning algorithm for community detection in networks. It learns information from known communities and uses this information to find new communities on the network.

[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by ACM TKDD

The implementation was done using python networkx and matplot libraries. Zachary karate club dataset is used as a benchmark dataset between the different community detection algorithms. Karate is the well-known and much-used dataset to benchmark algorithms as ground truth of it is two so if a detection algorithm is close to these two sets, then …

This repository includes my project in Python for the Advanced Software Praktika in Data and Text Mining at the University of Heidelberg

A summary of the work done for the June 2021 FOSSEE Research Internship in R.

CS328 Introduction to Data Science - Prof. Anirban Dasgupta - Project: Sparsifying Networks while Preserving Properties

an Algorithm that works on Community Detection

Betweenness centrality method on WormNetv3 Network