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Code for the Coling Paper "The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities"

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The Road to Success

Code and data to reprocude the findings in the paper The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities by Marco Del Tredici and Raquel Fernández, accepted to COLING 2018.

Our analyses exploit data from 20 Reddit forums (subreddits). The dataset (20Reddit-Road2Success) is freely available under a Creative Commons (CC BY 0.4) license.

This directory includes three sub-folders:

  • Innovations_Detection: includes code to analyze the spread of a linguistic innovation in a communty of speakers.

  • Network_Modeling: includes code for creating time-dependent graphs representing the social scturcture of the community and to compute the tie-strenght of the edges connecting users.

  • Plots: includes (i) plots of the general probability mass distribution of tie strengths and the probability distribution for innovators for each subreddit; (ii) an example of a network graph taken from our dataset.

Requirements

  • Python 3
  • networkx

Citation

Please cite our paper if you use any of these materials:

@inproceedings{deltredici-fernandez:2018:coling,
	Author = {Marco Del Tredici and Raquel Fern\'andez},
	Booktitle = {Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018)},
	Title = {{The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities}},
	Year = {2018}
  }

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Code for the Coling Paper "The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities"

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