Citraro Salvatore
Salvatore Citraro is a PhD student in Computer Science at the University of Pisa and a member of the Knowledge Discovery and Data Mining Laboratory (KDD-Lab), a joint research group with the Information Science and Technology Institute of the Italian National Research Council in Pisa. Currently, his main research interests focus on complex networks, including classic and feature-rich network data analysis. His PhD line of research includes the study of linguistic networks, namely how their hidden structures and properties can be meaningfully exploited and applied in cognitive contexts.
Topics:
Network Analysis, Cognitive Network Science
2018 Master Degree in Digital Humanities at University of Pisa with 110/110 cum laude
- Position
- Post Doc
- Affiliation
- Department of Computer Science, University of Pisa (DI-UNIPI)
- Homepage
- Google Scholar
- Salvatore Citraro on Google Scholar
- Salvatore Citraro on Twitter
Projects
None
Publications
2021
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, “Conformity: a Path-Aware Homophily measure for Node-Attributed Networks”, IEEE Intelligent SystemsIEEE Intelligent Systems, pp. 1 - 1, 2021.
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, “Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities”, arXiv preprint arXiv:2110.15269, 2021.
2020
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, “Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks”, arXiv preprint arXiv:2012.05195, 2020.
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, “UTLDR: an agent-based framework for modeling infectious diseases and public interventions”, arXiv preprint arXiv:2011.05606, 2020.
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, “Identifying and exploiting homogeneous communities in labeled networks”, Applied Network Science, vol. 5, pp. 1–20, 2020.
2019
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, “Eva: Attribute-Aware Network Segmentation”, in International Conference on Complex Networks and Their Applications, 2019.
Blog
None