Kaustav Basu
ABSTRACT
With billions of users, social networks have become the go to platform for information diffusion for news media outlets. Lately, certain entities (users and/or organizations) have been active in generating misinformation in order to attract users to their respective websites, to generate online advertisement revenues, to increase followers, to create political instability, etc. With the increasing presence of misinformation on social networks, it is becoming increasingly difficult to not only distinguish between information and misinformation, but also, to identify the source(s) of misinformation propagation. This effort reviews my doctoral research on identifying the source(s) of misinformation propagation. Particularly, I utilize the mathematical concept of Identifying Codes to uniquely identify users who become active in propagating misinformation. In this paper, I formally present the computation of the Minimum Identifying Code Set (MICS) as a novel variation of the traditional Graph Coloring problem. Furthermore, I present an Integer Linear Program for the computation of the MICS. I apply the technique on various anonymous Facebook network datasets and show the effectiveness of the approach.
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Digital Library
- Kaustav Basu, Malhar Padhee, Sohini Roy, Anamitra Pal, Arunabha Sen, Matthew Rhodes, and Brian Keel. 2018. Health Monitoring of Critical Power System Equipments Using Identifying Codes. In International Conference on Critical Information Infrastructures Security. Springer, 29–41.Google Scholar
- Kaustav Basu, Chenyang Zhou, Arunabha Sen, and Victoria Horan Goliber. 2019. A Novel Graph Analytic Approach to Monitor Terrorist Networks. arXiv preprint arXiv:1902.02836(2019).Google Scholar
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- Arunabha Sen, Victoria H Goliber, Kaustav Basu, Chenyang Zhou, and Sumitava Ghosh. 2019. On upper and lower bounds of identifying code set for soccer ball graph with application to satellite deployment. In Proceedings of the 20th International Conference on Distributed Computing and Networking. ACM, 307–316. Google ScholarDigital Library
- Arunabha Sen, Victoria Horan Goliber, Chenyang Zhou, and Kaustav Basu. 2018. Terrorist Network Monitoring with Identifying Code. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation. Springer, 329–339.Google Scholar
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- Eugenio Tacchini, Gabriele Ballarin, Marco L Della Vedova, Stefano Moret, and Luca de Alfaro. 2017. Some like it hoax: Automated fake news detection in social networks. arXiv preprint arXiv:1704.07506(2017).Google Scholar
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Index Terms
- Identification of the Source(s) of Misinformation Propagation Utilizing Identifying Codes
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