Dynamic Social Network Simulation Data with Ground Truth Labels and Features
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Updated
Apr 8, 2020 - Python
Dynamic Social Network Simulation Data with Ground Truth Labels and Features
Collection of datasets for network research.
Overview of some network tools that can be used during the network forensics (extended with some publicly available datasets)
Large-Scale Network Community Detection Using Similarity-Guided Merge and Refinement
AFSP conference panel co-attendance networks.
Privacy preserving supervised machine learning model uses a private aggregation of teacher ensembles technique and Laplacian Noise to protect training on sensitive network traffic data.
Extraction of Particular Sports as Networks (EPSN)
I/O utilities and datasets for algebraic-graphs
An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions
IoT Forensics Master Thesis @POLIMI
Practice on igraph library to test its amazing visualization effect with relational network datasets.
R syntax and network data for the article: Zbíral, David; Riccardo, Katia; Hampejs, Tomáš; Brys, Zoltán. 2024. Gender, kinship, and other social predictors of incrimination in the inquisition register of Bologna (1291–1310): Results from an exponential random graph model. Under review.
Tools for working with GTFS public transit data in ArcGIS
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