Community detection in VK
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Updated
Jul 21, 2020 - Python
Community detection in VK
MLPb: Matching via weight-constrained label propagation in bipartite networks
Learning From Networks (LFN) project repository. "Learning From Networks" is a course of the master degree in "Computer Engineering" at the University of Padua, Italy.
Madrid Train Bombing Network Centrality Analytics and Community Detection. Second Assignment for Data Analytics course @unimib18/19.
This project utilizes the Spark Framework and GraphFrames library to implement the Girvan-Newman algorithm, detecting communities in social networks by analyzing user connections based on common business reviews and optimizing modularity through iterative edge removal.
Project introduction and guidelines.
Label propagation algorithm based on local cycles for community detection
A Node Influence Based Label Propagation Algorithm for Community Detection in Networks
Network Science toolbox focused on generalizing centrality and community structure
an Algorithm that works on Community Detection
The full and comprehensive graph library!
MATLAB implementation of Strength Adjusted Multilayer Spectral Clustering
Determine an optimal modularity resolution for executing MolTI-DREAM, a community definition software for multilayer networks.
Louvain's community detection algorithm for big graphs
Project Repository for CSE3021 - Social & Information Networks
Implementing the BFR algorithm for community detection
Code for the paper "Module-based regularization improves Gaussian graphical models when observing noisy data"
Social Networks Analysis, NTUA 2019-2020
Metabolic pathway inference using non-negative matrix factorization with community detection
Code for data analysis portion of my MSc thesis entitled "Community Analysis of Networks of Twitter Keywords".
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