/SocialMediaDataAnalysis

Social Media Data Analysis

Primary LanguagePython

SocialMediaDataAnalysis

Introduction

In this project, we will learn how to crawl social media data(Twitter) as well as process and report some analysis on my extracted data. It includes three steps:

  1. Data Collection
  2. Data Visualization
  3. Network Measures Calculation

Source Structure

├── doc
      # crawl data will save into this file
│ ├── all_friends.json  
      # the screen names we want crawl from twitter
│ └── users.txt  
└── main.py

Conclusion

  • visualize data about: ['BarackObama', 'BillGates', 'BillClinton']

  • visualize data about: ['illinoistech', 'ILTechAthletics', 'CoachEdIIT']

  • visualize all data what we crawled

  • analysis data with degree rank plot

  • analysis data with degree histogram