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Supplementary material for the paper "Studying topic engagement and synergy among candidates for 2020 US Elections"

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2020-US-Elections

Supplementary material for the paper "Studying topic engagement and synergy among candidates for 2020 US Elections"

Dataset can be found at GitLab

Repository structure

  • code: The code to generate all the results presented in the article
  • results: Snapshots of all the results

Reference

More information about our method can be found in the following article: Baxi, M.K., Sharma, R. & Mago, V. Studying topic engagement and synergy among candidates for 2020 US Elections. Soc. Netw. Anal. Min. 12, 136 (2022). https://doi.org/10.1007/s13278-022-00959-9

If you use any of the provided material for your work, please cite us as follows:

@article{baxi2022studying,
  title={Studying topic engagement and synergy among candidates for 2020 US Elections},
  author={Baxi, Manmeet Kaur and Sharma, Rajesh and Mago, Vijay},
  journal={Social Network Analysis and Mining},
  volume={12},
  number={1},
  pages={1--15},
  year={2022},
  publisher={Springer}
}

Contact information

If you have any questions or suggestions, do not hesitate to email me at mbaxi@lakeheadu.ca. 😊

Do ⭐ the repository, if it helped you in anyway.

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Supplementary material for the paper "Studying topic engagement and synergy among candidates for 2020 US Elections"

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