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Martin Hilbert @UCDavis.edu's Projects

entropy-and-mutual-information icon entropy-and-mutual-information

These two scripts calculate entropies (incl. conditional and joint) and mutual information (in Shannon's sense) from DATA and from given PROBABILITIES, including statistical significance tests

ruro-measures-and-plots icon ruro-measures-and-plots

This R script calculates and measures and creates the graphs presented in the paper Crutchfield & Feldman, (2003). It was developed by Mahima Agarwal and Martin Hilbert, being adopted from the python scripts of the dit library from Ryan James

stationarity_chi_square icon stationarity_chi_square

calculates percentage of stationary partitions for temporal sequence of categorical (qualitative) events

transcssr icon transcssr

A Python implementation of epsilon-machines & -transducers derivation, by Dave Darmon (with additions by Timothy Zhang) via CSSR (Causal State Splitting Reconstruction)

youtube-recommender-bias icon youtube-recommender-bias

Versions of this code has been used in 3 complementary studies about the social effects of YouTube's recommender engine (among other platforms): (1) Hilbert, Ahmed, Cho, Liu, Luu. "Communicating with Algorithms: A Transfer Entropy Analysis of Emotions-based Escapes from Online Echo Chambers". Communication Methods and Measures. 2018;12(4):260-275. (2) Hilbert, Liu, Luu, Fishbein. "Behavioral Experiments With Social Algorithms: An Information Theoretic Approach to Input–Output Conversions". Communication Methods and Measures. 2019;0(0):1-20. (3) Cho, Ahmed, Hilbert, Liu, Luu. "Do Search Algorithms Endanger Democracy? An Experimental Investigation of Algorithm Effects on Political Polarization", Journal of Broadcasting & Electronic Media

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