Young Joon Oh

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The Important thing is whether It’s More Intuitive : Bayesian or Frequentist

Bayesian statistics directly assigns probabilities to parameters. The prior distribution already contains a probability description of the parameter, and the posterior distribution is the revised version of the prior, updated to incorporate the observed data. Unlike frequentist methods, Bayesian interpretation does not demand toggling between data probabilities and parameter probabilities.

this Post from Computational Social Science Post on Feb. 20, 2025

Three specific conditions in which ABM can shine

Should ABM be used to study all of these forms of social or natural phenomena? Probably not. In many applied research scenarios, if you already have robust datasets and established statistical or mathematical frameworks, a conventional approach will be simpler and more rigorous. However, there are cases where ABM becomes critical.

this Post from Medium on Jan 9, 2025

What is Computational Social Science? (Network)

As computational social science continues to mature, network analysis stands as one of its central pillars. It exemplifies the core ideals of CSS: embracing new data sources, deploying computational methods to tackle complexity. Just as Econometrics carved out a niche within the broader discipline of Statistics by focusing on economic applications and specialized regression techniques, Computational Social Science is similarly seeking to differentiate itself from general Data Science.

this Post from Medium on December 16, 2024

PyNetlogo Tutorial

I uploaded PyNetlogo tutorial(s) on my youtube channel. I fixed some errors in the package website. It consists of two parts. Part 1 covers the basic example, and part 2 covers a sensitivity analysis.

this Post from Computational Social Science Post on Dec. 16, 2020

Renaissance Network : Web crawler and Data Visualization

I built a web crawler to get network data about figures of Renaissance period. I made a tutorial video for it in my Youtube channel.

this Post from Computational Social Science Post

Four Tutorials on Dynamic(Temporal) Network using R (+ EPI model) and Gephi

I made four tutorials to deal with dynamic network data and visualizing them. The first tutorial is here.

this Post from Computational Social Science Post