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
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.
Time series to visibility graphs.
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
Find community/segment in an attributed graph of Facebook data.
Unified generation and analysis of networks in Python, with neuroscientific additions
A python script for detecting communities in graphs using the clique percolation method.
Implementation of HITS algorithm for finding hub and authority scores for twitter users
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
Deduplicate data using fuzzy and deterministic matching rules.
A tool to visualize computer networks
Hooshak is a recommender system uses implicit social network analysis
A centralized benchmarking suite to facilitate comparative profiling of tools across graph analytic libraries and datasets
🎓 Dataset and analysis code of the paper published in Applied Network Science
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