Model of warning information diffusion on online social networks based on population dynamics-Reference-Cited by-同舟云学术

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Model of warning information diffusion on online social networks based on population dynamics

Published:2021-04 Issue: Volume:567 Page:125709
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Chen Anying,Ni Xiaoyong,Zhu Haoran,Su Guofeng

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference22 articles.

1. Facebook Third Quarter Earnings Report in 2018;Facebook,2018

2. Weibo User Development Report;Data Centre of Sina Weibo,2019

3. Information cascades in social media in response to a crisis: a preliminary model and a case study;Hui,2012

4. Uncovering the temporal dynamics of diffusion networks;Rodriguez,2011

5. Structure and dynamics of information pathways in online media;Gomez Rodriguez,2013

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2. Extracting the diffusion dynamics of crisis information on online social networks: Model and application;International Journal of Disaster Risk Reduction;2024-02

3. Relationship Between Fatigue in University Students and the Consumption of Videos on Social Networks;Lecture Notes in Networks and Systems;2024

4. Information dissemination model of recommendation platform based on network community;2022 7th IEEE International Conference on Data Science in Cyberspace (DSC);2022-07

5. Survey on the dissemination of Web-based information on “evacuation and sheltering” in the context of COVID-19 by the Japanese Government;International Journal of Disaster Resilience in the Built Environment;2021-10-18

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