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Analyzed users’ Big 5 personality traits to predicting network centrality within organic Facebook friend networks using linear regression with lasso regularization and k-folds cross validation.

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zhannar/Facebook-Network-Analysis-Big5-Personality

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Personality Dynamics in Human Social Networks

Project Summery:

Analyzed users’ Big 5 personality traits to predicting network centrality within organic Facebook friend networks using linear regression with lasso regularization and k-folds cross validation.

File Structure Summary:

The project's files are organized into the following structure:

Code Folder - In Python - Contains IPython Jupyter notebooks which perform contain all data analysis and any custom functions built in separate python script files. (Currently in progress)

Resources Folder - All the raw and derived data used in the project. Also contains original research describing how the origin of the raw data.

Presentation file - A deck of initial results presented in early 2016.

Project Overview file - Provides a high level overview of the insights made throughout the data analysis. (Currently in progress)

README file - You're reading it. Describes logistics what things are doing and how they are organized.

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Analyzed users’ Big 5 personality traits to predicting network centrality within organic Facebook friend networks using linear regression with lasso regularization and k-folds cross validation.

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