twitter data and code

The data and the code for the Twitter experiments in the paper:

V. Shumovskaia, M. Kayaalp, M. Cemri, and A. H. Sayed, “Discovering influencers in opinion formation over social graphs,” IEEE Open Journal of Signal Processing, pp. 1–20, 2023.

python3 elon_musk_run.py

python3 jour_run.py

python3 ben_run.py

To run the sentiment analysis algorithm, please download the language model at https://drive.google.com/file/d/14bAG2IattBsrdqAjRbeBGU6XyHJCAEu_/view?usp=sharing and place it in utils folder.

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
twitter_data_ff		twitter_data_ff
utils		utils
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
belief_from_text_ben.py		belief_from_text_ben.py
belief_from_text_jour.py		belief_from_text_jour.py
belief_from_text_musk.py		belief_from_text_musk.py
ben_run.py		ben_run.py
date_search.txt		date_search.txt
date_search_2017.txt		date_search_2017.txt
date_search_2017_extended.txt		date_search_2017_extended.txt
date_search_hourly_maker.py		date_search_hourly_maker.py
elon_musk_run.py		elon_musk_run.py
get_network_ben.py		get_network_ben.py
get_network_jour.py		get_network_jour.py
get_network_musk.py		get_network_musk.py
get_tweets_ben.py		get_tweets_ben.py
get_tweets_jour.py		get_tweets_jour.py
get_tweets_musk.py		get_tweets_musk.py
jour_run.py		jour_run.py

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