Identify Twitter Data from Humans or Bots Using Machine Learning Algorithms with Kendalls Correlation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6616-2_19
Reference19 articles.
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3. Ashish Mehrotra, Mallidi Sarreddy and Sanjay Singh (2016) Detection of Fake Twitter Followers using Graph Centrality Measures in Contemporary Computing and Informatics (IC3I),2nd International Conference on. IEEE, pp. 499–504.
4. Clayton A. Davis, Onur Varol, Emilio Ferrara ,Alessandro Flammini, Filippo Menczer(2016) Bot Or Not: A System to Evaluate Social Bots, Proceedings of the 25th international conference companion on world wide web. International World Wide Web Conferences Steering Committee pp 273–274. https://doi.org/10.1145/2872518.2889302.
5. Christoph Besel, Juan Echeverria, Shi Zhou (2018) Full Cycle Analysis of a Large-scale Botnet Attack on Twitter In IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM) IEEE, pp 170–177.
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