PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks
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Updated
Jan 21, 2020 - Python
PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks
The Python code for the models presented in Alizadeh, M., Cioffi-Revilla, C. and Crooks, A. (2017), Generating and Analyzing Spatial Social Networks. Computational and Mathematical Organization Theory, 23(3): 362-390.
[Nature Communications 2025] "Random resistive memory-based extreme point learning machine for unified visual processing."
The "Analysis of Information Networks" repository contains six exercises that explore key concepts in network analysis. From random network generation to link prediction and recommender systems, each exercise provides hands-on experience with metrics, visualizations, and real-world applications.
The code and results for finding anchor nodes in different networks which reduce the APL of the network.
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