Tidy Geospatial Networks in R
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Updated
May 14, 2026 - R
Tidy Geospatial Networks in R
A link prediction algorithm tailored to flow-driven spatial networks. Paper accepted @ WACV24.
Sample implementation of spatial betweenness centrality for transport networks
Analyzing Complex Networks with Python
Spatial Data and Networks, Efficient Text Retrieval Methods, Ultra Fast Database Operators, Top-K Queries
Populated Polygons to Networks — pp2n
📦 Create network connections based on chess moves
Data and algorithms used in empirical contribution of the research project "The Impact of Physicality on Network Structure".
A system to display relationships between real world networks and social networks. For Kent State University COF-CS Grant research.
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.
A Rust library providing verifiable aggregation ledgers in distributed spatial networks. It implements deterministic zero-knowledge proof (ZKP) and verification pipelines for local data processing—specifically validating location constraints and machine learning training updates—using a flexible API designed for seamless integration with Halo2
Topological Analysis of Among Us' Skeld Map
This was the final project for STAT 631, a course in computational statistics offered at the University of Calgary.
Space Syntax's jgraph in a force-directed layout
A hybrid quantum-classical optimization framework for budget-constrained network node deployment. Combines deterministic mathematical programming (IBM CPLEX) with hierarchical variational quantum heuristics (Qiskit CQAOA) under strict symmetry preservation.
Street network analysis across Catalonia’s comarques.
Network science toolkit analyzing Venice's street network through Infomap community detection, Girvan-Newman clustering, and MBRW spectral analysis to reveal urban structure, fractal properties, and modular organization using Python and MATLAB.
Public reproducibility package for road-network percolation null-model evidence and R198 mechanism-first figure package.
This is the Github repository for the preprint https://arxiv.org/abs/2505.19612
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