Identifying Complicated Contagion Scenarios from Cascade Data-Reference-Cited by-同舟云学术

Identifying Complicated Contagion Scenarios from Cascade Data

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Harrison Galen¹^ORCID,Alabsi Aljundi Amro¹^ORCID,Chen Jiangzhuo¹^ORCID,Ravi S.S.¹^ORCID,Vullikanti Anil Kumar¹^ORCID,Marathe Madhav V.¹^ORCID,Adiga Abhijin¹^ORCID

Affiliation:

1. University of Virginia, Charlottesville, VA, USA

Funder

USDA

Centers for Disease Control and Prevention

National Science Foundation

Virginia Department of Health

NIH (National Institutes of Health)

Defense Threat Reduction Agency

University of Virginia SIF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599841

Reference57 articles.

1. Tracking Information Epidemics in Blogspace

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3. Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19

4. Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps;Alo Uzoma Rita;Security and Open Research Directions. Sensors,2022

5. Using machine learning as a surrogate model for agent-based simulations

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2. Identifying Complicated Contagion Scenarios from Cascade Data;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04