Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.

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Title: Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.
Authors: Long, Yicheng1,2 (AUTHOR) yiclong@student.unimelb.edu.au
Source: PLoS ONE. 7/17/2025, Vol. 20 Issue 7, p1-20. 20p.
Database: Academic Search Ultimate
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  Data: Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 7/17/2025, Vol. 20 Issue 7, p1-20. 20p.
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        Value: 10.1371/journal.pone.0327476
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