Computational tools for urban analysis
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Updated
Jun 17, 2026 - Python
Computational tools for urban analysis
A Python package to calculate, visualize and analyze correlation maps of proteins.
The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
Implementation for onion decomposition in Python
Nuclear centrality estimation from GPSeq experiment.
This tool is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. It implements an analyzer and visualizer specialized for criminal (social) network analysis, including community detection, social influence analysis, and link prediction.
Project repository for CS6670 : Topics in Data Mining offered in Spring 2018
Social network connection analysis on approximation fast algorithm
The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)
Generating graphical visualization of e-books which gives best explained section of the books in terms of centrality and relevance
Analyze GitHub open-source ecosystem trends using network-based metrics.
GPU-accelerated road network graph analytics pipeline — SSSP, 5-metric centrality analysis, and nx-cugraph backend methods, inspired by NVIDIA DLI. / NVIDIA DLI 학습 기반 GPU 가속 도로망 그래프 분석 파이프라인 — SSSP · 중심성 5종 · nx-cugraph 백엔드 3방식 구현.
the code of the paper "The emergence of nonlinear crossover under epidemic dynamics in heterogeneous network" of PRE
Draft interactive Marimo WASM app for teaching adjacency matrices, paths, triangles, and centrality in networks.
Graph Centrality Analysis using NetworkX (Friendship & Blog Networks)
Analyzes the top 10 most "important" characters in the Harry Potter universe using centrality metrics (degree centrality, eigenvector centrality, closeness centrality)
Module for automatic summarization of text documents and HTML pages.
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