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twitter-network-analysis's Introduction

Twitter network analysis

Directed network analysis, from Twitter data source to analysis and metric applications.

Source code for the paper "A Customisable Pipeline for Continuously Harvesting Socially Minded Twitter Users".

For more info check out the dedicated page.

Steps

Analysis is performed in several sequential/parallel pipelines, which produce intermediate results in the output.

Installation

  1. Install required linux packages: sudo apt install python3 python3-dev build-essential
  2. Install python required modules pip install -r requirements.txt

Sources

twitter-network-analysis's People

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twitter-network-analysis's Issues

Question on Further Work

  1. Is it useful to do role detection (e.g. RolX, RoleSim) and niche centrality measures (NetworkX) to discover persons of interest?
  2. Would alternate Community Detection (CDLib) algorithms be better at network analysis?
  3. Would Node Embedding (KarateClub) be useful at simplifying the structuring of the network?
  4. What are the major indicating factors of Temporal Directed Networks?
  5. What is the best way to weigh a user network, where each user pair can only have one edge but multiple retweets and replies?
  6. Are there any differences between these three items?
  • conversation community (retweet/reply/citations networks)
  • belief community (follow networks)
  • tweet topic models (e.g. TF-IDF with Tweet Keywords and Hashtags)

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