alyzing key hackers at a single point in time and use a hacker’s structural features only. In this study, we propose a novel H. cker Evolution Identification Framework to identify how.

Nov 2, 2021 · We illustrate the potential practical utility of the proposed framework with a case study on an English forum with 51,612 posts. The results produced by the framework in this case study identified key hackers posting piracy assets. Otto, K., Ampel, B., Samtani, S., Zhu, H., & Chen, H. (2021).

Kaeli Otto. University of Arizona,Department of Management Information Systems,Tucson,AZ,United States, Benjamin Ampel. University of Arizona,Department of Management Information Systems,Tucson,AZ,United States, Sagar Samtani. Indiana University,Department of Operations and Decision Technologies,Bloomington,IN,United States, …

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Affiliations: [Department of Management Information Systems, University of Arizona, Tucson, AZ, United States].

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Kaeli Otto: 1 Following, 1 Research paper. Research interest: Civil Engineering.

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