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

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.

Community detection algorithms on custom twitter hashtag networks

A Python project for analyzing network structures and detecting communities using various algorithms such as Louvain, Leiden, Infomap, and others. The project supports both directed and undirected graphs, computes network statistics, detects communities, and exports comparative evaluation results.

[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 …

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

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

an Algorithm that works on Community Detection

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

Betweenness centrality method on WormNetv3 Network

Debiasing users and items in Collaborative Filtering Recommender Systems via Community Edge Suppression

A FluidC analysis on large-scale and real-data complex networks.