There are 4 repositories under igraph topic.
A curated list of community detection research papers with implementations.
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Publication-quality network visualisations in python
Community Discovery Library
The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Interactive graph visualizations with Python and HTML/CSS/JS.
Time series to visibility graphs.
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
R package to create, modify and visualize graphs with multiple layers.
Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Science at University of SĂŁo Paulo
Smith-Pittman Community Detection Algorithm for 'igraph' Objects (2024) in R
#TidyTuesday Contributions.
causaleffect: R package for identifying causal effects.
Source code for blog post at https://hautahi.com/im_greedycelf
Clique Percolation Method to extract communities for a graph network. [R implementation]
GraphPass is a utility to filter networks and provide a default visualization output for Gephi or SigmaJS.
Find community/segment in an attributed graph of Facebook data.
A python script for detecting communities in graphs using the clique percolation method.
Network analysis with Input-Output Matrix. Project developed as a conclusion of my graduation in economics where I explored the use of network analysis in input-output matrices comparing countries in the north and south of the world, exploring the similarities and differences in the flow of goods structures between sectors of the economy. All analysis was done in R, the presentation in R Markdown and the Article in LaTex.
Implementation of HITS algorithm for finding hub and authority scores for twitter users
A collection of notes about applied Net Sci with R
Automate the case review on legal case documents.
Rank the pages in the corpus by considering the inlinks and outlinks. Also handling dead ends and spider traps. Topic Specific Page Rank and visualization of page links using igraph