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On limitations of uniplex networks for modeling multiplex contagion [article]

Nicholas W. Landry, Jimi Adams
2022 arXiv   pre-print
We look at how data modeling choices can affect the predictions of contagion processes.  ...  Our results show that contagion on multiplex data is not represented accurately in models developed from the uniplex networks even when they are combined, and that the nature of the differences between  ...  We would like to thank Jeffrey Smith for his helpful feedback on early formulations of this idea, and Ryan Light and David Schaefer for helpful comments on the execution.  ... 
arXiv:2204.12348v1 fatcat:itmzdjpwnraldcoktbn7dqj7dm

The Role of Node Heterogeneity in the Coupled Spreading of Epidemics and Awareness

Quantong Guo, Yanjun Lei, Chengyi Xia, Lu Guo, Xin Jiang, Zhiming Zheng, Luo-Luo Jiang
2016 PLoS ONE  
Furthermore, we find that when the k-core measure is used to classify individuals, the spreading process is robust to these models, meaning that regardless of the model used, the spreading process is nearly  ...  Exploring the interplay between information spreading and epidemic spreading is a topic that has been receiving increasing attention.  ...  Individuals on the awareness layer spread awareness of the epidemic while the contagion process proceeds on the contagion layer; the awareness layer is a threshold model, and the contagion layer is a classical  ... 
doi:10.1371/journal.pone.0161037 pmid:27517715 pmcid:PMC4982672 fatcat:eiqae3pswzhuzkmcktpkel2h4i

EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks

Joel Miller, Tony Ting
2019 Journal of Open Source Software  
The package consists of over 100 methods available for users to perform stochastic simulation of a range of different processes including SIS and SIR disease, and generic simple or comlex contagions.  ...  We provide a description of the Epidemics on Networks (EoN) python package designed for studying disease spread in static networks.  ...  Its underlying processes are written in C++, so it is often much faster. Graph-tool has a number of built-in dynamic models, including the SIS, SIR, and SIRS models.  ... 
doi:10.21105/joss.01731 fatcat:5d45la4am5gjzmd677nohkwdlm

Dueling biological and social contagions

Feng Fu, Nicholas A. Christakis, James H. Fowler
2017 Scientific Reports  
We apply the model to unique time series data collected during the 2009 H1N1 epidemic that includes information about vaccination, flu, and face-to-face social networks.  ...  Our dueling contagion model suggests that other epidemiological models may be dramatically underestimating the R 0 of contagions.  ...  P01-AG031093), the Robert Wood Johnson Foundation, and the European Research Council Advanced Grant (grant no. PBDR 268540), and the Dartmouth Faculty Startup Fund.  ... 
doi:10.1038/srep43634 pmid:28252663 pmcid:PMC5333634 fatcat:q6ie6gws4nf7dnrtmsz3x3gu2a

Contagion dynamics in self-organized systems of self-propelled agents [article]

Yinong Zhao, Cristián Huepe, Pawel Romanczuk
2021 arXiv   pre-print
We show that the emerging spatial features strongly affect the contagion process.  ...  Using agent-based simulations, we analyze the outbreak process for different combinations of the spatial parameters (alignment strength and Peclet number) and epidemic parameters (infection-lifetime transmissibility  ...  there for contagion and thus limit the epidemic growth.  ... 
arXiv:2103.12618v2 fatcat:pzai4yasbvbldckwfliyvmdmla

Modeling the Spread of Multiple Contagions on Multilayer Networks [article]

Petar Jovanovski, Igor Tomovski, Ljupco Kocarev
2020 arXiv   pre-print
This model is not related to the network topology and can be observed in both compartmental models and models on networks.  ...  In a special case when considering only compartmental models, we analytically analyze an example of a model with a mutation driven strain persistence characterized by the absence of an epidemic threshold  ...  Acknowledgment This research was supported in part by DFG (grant Random search processes, Lévy flights, and random walks on complex networks) and ONR/ONR Global (grant No. N62909-16-1-2222).  ... 
arXiv:1703.02906v3 fatcat:oblvdakzbfgs5ku5ep7ivb7rg4

Bayesian inference of spreading processes on networks

Ritabrata Dutta, Antonietta Mira, Jukka-Pekka Onnela
2018 Proceedings of the Royal Society A  
Our goal is to learn simultaneously about the spreading process parameters and the source node (first infected node) of the epidemic, given a fixed and known network structure, and observations about state  ...  Our method is agnostic about the topology of the network and the nature of the spreading process.  ...  The research was supported by Swiss National Science Foundation grant no. 105218_163196 (Statistical Inference on Large-Scale Mechanistic Network Models).  ... 
doi:10.1098/rspa.2018.0129 pmid:30100809 fatcat:cg3zzvgk2faylk76cjrzodxpc4

A Two-Phase Dynamic Contagion Model for COVID-19 [article]

Zezhun Chen
2020 arXiv   pre-print
In this paper, we propose a continuous-time stochastic intensity model, namely, two-phase dynamic contagion process(2P-DCP), for modelling the epidemic contagion of COVID-19 and investigating the lockdown  ...  effect based on the dynamic contagion model introduced by Dassios and Zhao (2011).  ...  In this paper, we propose a continuous-time stochastic epidemic model, namely, the two-phase dynamic contagion process (2P-DCP), for modelling the epidemic contagion.  ... 
arXiv:2006.08355v1 fatcat:q7g2akpwkvgghcdiiwwsksp5gy

A Two-Phase Dynamic Contagion Model for COVID-19

Zezhun Chen, Angelos Dassios, Valerie Kuan, Jia Wei Lim, Yan Qu, Budhi Surya, Hongbiao Zhao
2020 Social Science Research Network  
In this paper, we propose a continuous-time stochastic intensity model, namely, two-phase dynamic contagion process (2P-DCP), for modelling the epidemic contagion of COVID-19 and investigating the lockdown  ...  effect based on the dynamic contagion model introduced by Dassios and Zhao [24] .  ...  Acknowledgements The author Hongbiao Zhao would like to acknowledge the financial support from the National Natural Science Foundation of China (#71401147) and the research fund provided by the Innovative  ... 
doi:10.2139/ssrn.3624102 fatcat:xwieiz5uzbbghgl5ndjg2fzdwm

A two-phase dynamic contagion model for COVID-19

Zezhun Chen, Angelos Dassios, Valerie Kuan, Jia Wei Lim, Yan Qu, Budhi Surya, Hongbiao Zhao
2021 Results in Physics  
In this paper, we propose a continuous-time stochastic intensity model, namely, two-phase dynamic contagion process (2P-DCP), for modelling the epidemic contagion of COVID-19 and investigating the lockdown  ...  effect based on the dynamic contagion model introduced by Dassios and Zhao [24].  ...  Acknowledgements The author Hongbiao Zhao would like to acknowledge the financial support from the National Natural Science Foundation of China (#71401147) and the research fund provided by the Innovative  ... 
doi:10.1016/j.rinp.2021.104264 pmid:34002126 pmcid:PMC8116323 fatcat:yl5vxkgqfvebnlsx4iupt4ifem

An Epidemic Spreading Model on the Adaptive Dual networks

Changlun Zhang, Nan Ning, Zhanyong Jin, Jian Zhang
2017 IOSR Journal of Humanities and Social Science  
In this paper, we carry out an epidemic spreading model on the adaptive dual network based on the machine to study the interplay between the two processes.  ...  The simulation results show that our model will slow down the disease spreading and reduce the infected size.  ...  ACKNOWLEDGEMENTS We thank the anonymous referees for helpful comments and constructive suggestions.  ... 
doi:10.9790/0837-2205025463 fatcat:2lgzuop7sbampdiaybxf27wola

Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures

Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic, Tomislav Smuc
2014 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops  
) contagion spreading models on synthetic and real-world complex networks.  ...  The framework is based on a maximum likelihood estimation of a partial epidemic realization and involves large scale simulation of contagion spreading processes from the set of potential source locations  ...  Acknowledgements The authors would like to thank Professor Yaneer Bar-Yam (New England Complex System Institute, Cambridge, MA 02142, USA) for valuable help in the early stages of the research.  ... 
doi:10.1109/sasow.2014.35 dblp:conf/saso/Antulov-Fantulin14 fatcat:xzdqxxomjfhodi77rcblza7fai

Complex social contagion makes networks more vulnerable to disease outbreaks

Ellsworth Campbell, Marcel Salathé
2013 Scientific Reports  
Using network simulations that model health behavior and infectious disease spread, we find that under otherwise identical conditions, the process by which the health behavior spreads has a very strong  ...  Here, we build on mounting evidence that health behaviors -such as vaccination, and refusal thereof -can spread across social networks through a process of complex contagion that requires social reinforcement  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.1038/srep01905 pmid:23712758 pmcid:PMC3664906 fatcat:r7xl2oufabf3to2b5imjw2c2ji

Complex social contagion makes networks more vulnerable to disease outbreaks [article]

Ellsworth Campbell, Marcel Salathé
2012 arXiv   pre-print
Using network simulations that model both the health behavior and the infectious disease spread, we find that under otherwise identical conditions, the process by which the health behavior spreads has  ...  Here, we build on mounting evidence that health behaviors - such as vaccination, and refusal thereof - can spread through social networks through a process of complex contagion that requires social reinforcement  ...  ACKNOWLEDGEMENTS The authors would like to thank Timo Smieszek. EC and MS acknowledge computational  ... 
arXiv:1211.0518v1 fatcat:qeyy32ycofc5fbjui5zdikscaa

The suppression effect of emotional contagion in the COVID-19 pandemic: A multi-layer hybrid modelling and simulation approach

Xudong Guo, Junbo Tong, Peiyu Chen, Wenhui Fan, Hocine Cherifi
2021 PLoS ONE  
We designed a new emotion dynamics model IWAN (indifferent, worried, afraid and numb) to simulate emotional contagion inside a community during an epidemic.  ...  Due to the experiment results, the proposed multi-layer network model with hybrid simulation is valid and can be applied to the quantitative analysis of the epidemic trends and the suppression effect of  ...  The global and the local processes run in parallel. Agent-based modelling Agent-based modelling was applied at the global level.  ... 
doi:10.1371/journal.pone.0253579 fatcat:dvt3iei5zjdu3lo4i4zeaaasce
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