Modelling and Analyzing Social Interactions in COVID-19 with Dynamic Graphs
Author:
Affiliation:
1. Nanjing University of Posts and Telecommunications, School of Internet of Things,Nanjing,China
2. Instituto de Telecomunicações,Covilhã,Portugal
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437784.pdf?arnumber=10437784
Reference33 articles.
1. Applications of machine learning for COVID-19 misinformation: a systematic review
2. Why COVID-19 models should incorporate the network of social interactions
3. Effective Social Network-Based Allocation of COVID-19 Vaccines
4. COVID-19 Superspreading Suggests Mitigation by Social Network Modulation
5. Social connections with COVID-19–affected areas increase compliance with mobility restrictions
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