Detecting Power Laws in Real-world Data with Python Code

Learn how to objectively detect power laws in real-world data through this informative video tutorial. Explore the limitations of traditional statistical methods when dealing with power law distributions and discover two key approaches: the log-log method and maximum likelihood estimation. Follow along with Python code examples demonstrating the detection process using both artificial and real-world social media data. Gain insights into the practical applications of power law analysis and prepare for future topics in this series on power laws and fat tails.

Intro -
Power Laws Break STAT 101 -
Log-Log Approach -
Maximum Likelihood Approach -
Example Code: Artificial Data -
Example Code: Real-world Social Media Data -
What's Next? -