What's in your data? Extract schema, statistics and entities from datasets
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Updated
Nov 13, 2024 - Python
What's in your data? Extract schema, statistics and entities from datasets
Simple, effective, and modular package for parsing observables (indicators of compromise (IOCs), network data, and other, security related information) from text. It uses grammars rather than regexes which makes it more readable, maintainable, and hackable. Explore our interactive documentation here: https://hightower.space/ioc-finder/
Dependency and root cause analysis and more for network and IT management graph example
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.
Code which follows a report for a coursework on Network Data Analysis.
Code which follows a report for a coursework on Network Data Analysis.
Extraction of Particular Sports as Networks (EPSN)
This is an article which I wrote about different descriptive measures used in Network statistics.
Model to detect missing and spurious interactions in complex networks
Codes related to the paper "Epistemic integration and social integration of AI in neuroscience"
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