carolinamattsson Goto Github PK

carolinamattsson.github.io

Personal Website

csss2015

follow-the-money

This project extracts trajectories (flows of money) from financial transaction data recorded by payment systems. The project also includes ways to analyze trajectory output. Please note that contributing to this project requires signing a Contributor License Agreement. Transaction data is overwhelmingly in private hands; banks don't do open source. To develop this project out in the open we need also the legal backing to work with payment system providers under proprietary licenses. For more information please contact Carolina Mattsson.

home-assistant

:house_with_garden: Open source home automation that puts local control and privacy first

itc-exportnetwork

letstrythis

GitTutoria

local-connectivity-structure

Tutorial and demonstration using spectral bipartivity to identify the local connectivity structure of a simple network. Methodological repository accompanying: Mattsson, C., Takes, F.W., Heemskerk, E.M, Diks, C., Buiten, G., Faber, A., and Sloot, P.M.A. Functional structure in production networks. Under Review. (2021).

netrd

nickname-and-diminutive-names-lookup

A CSV file that containing US given names (first name) and their associated nicknames or diminutive names.

scikit-learn

scikit-learn: machine learning in Python

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

transfer-velocity-of-money

Supplementary material for: Mattsson, C. E. S., Luedtke, A., & Takes, F. W. (2023). Inverse estimation of the transfer velocity of money (arXiv:2209.01512).