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Related papers: Social distancing in networks: A web-based interac…

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We consider an epidemic process on adaptive activity-driven temporal networks, with adaptive behaviour modelled as a change in activity and attractiveness due to infection. By using a mean-field approach, we derive an analytical estimate of…

Physics and Society · Physics 2020-09-02 Marco Mancastroppa , Raffaella Burioni , Vittoria Colizza , Alessandro Vezzani

This study focuses on investigating the manner in which a prompt quarantine measure suppresses epidemics in networks. A simple and ideal quarantine measure is considered in which an individual is detected with a probability immediately…

Physics and Society · Physics 2017-08-16 Takehisa Hasegawa , Koji Nemoto

Theoretical progress in understanding the dynamics of spreading processes on graphs suggests the existence of an epidemic threshold below which no epidemics form and above which epidemics spread to a significant fraction of the graph. We…

Social and Information Networks · Computer Science 2011-04-04 Greg Ver Steeg , Rumi Ghosh , Kristina Lerman

Urban mobility needs alternative sustainable travel modes to keep our pandemic cities in motion. Ride-pooling, where a single vehicle is shared by more than one traveller, is not only appealing for mobility platforms and their travellers,…

Physics and Society · Physics 2021-04-09 Rafał Kucharski , Oded Cats , Julian Sienkiewicz

The recent COVID-19 pandemic underscores the significance of early-stage non-pharmacological intervention strategies. The widespread use of masks and the systematic implementation of contact tracing strategies provide a potentially equally…

Populations and Evolution · Quantitative Biology 2024-09-02 A. P. Muntoni , F. Mazza , A. Braunstein , G. Catania , L. Dall'Asta

Contact tracing and quarantine programs have been one of the leading Non-Pharmaceutical Interventions against COVID-19. Some governments have relied on mandatory programs, whereas others embrace a voluntary approach. However, there is…

General Economics · Economics 2022-09-13 Darija Barak , Edoardo Gallo , Alastair Langtry

We study the effectiveness of using multiple phases for maximizing the extent of information diffusion through a social network, and present insights while considering various aspects. In particular, we focus on the independent cascade…

Social and Information Networks · Computer Science 2018-02-27 Swapnil Dhamal

This paper is based on the observation that, during Covid-19 epidemic, the choice of which individuals should be tested has an important impact on the effectiveness of selective confinement measures. This decision problem is closely related…

Physics and Society · Physics 2020-12-24 Matthias Pezzutto , Nicolas Bono Rossello , Luca Schenato , Emanuele Garone

During the course of the COVID-19 pandemic, a common strategy for public health organizations around the world has been to launch interventions via advertising campaigns on social media. Despite this ubiquity, little has been known about…

General Economics · Economics 2022-06-22 Susan Athey , Kristen Grabarz , Michael Luca , Nils Wernerfelt

Online social networking technologies enable individuals to simultaneously share information with any number of peers. Quantifying the causal effect of these technologies on the dissemination of information requires not only identification…

Social and Information Networks · Computer Science 2012-02-29 Eytan Bakshy , Itamar Rosenn , Cameron Marlow , Lada Adamic

Social networks are rich source of data to analyze user habits in all aspects of life. User's behavior is decisive component of a health system in various countries. Promoting good behavior can improve the public health significantly. In…

Social and Information Networks · Computer Science 2021-02-23 Shova Bhandari , Rini Raju

Detecting spreading outbreaks in social networks with sensors is of great significance in applications. Inspired by the formation mechanism of human's physical sensations to external stimuli, we propose a new method to detect the influence…

Physics and Society · Physics 2017-02-08 Sen Pei , Shaoting Tang , Zhiming Zheng

Contacts' temporal ordering and dynamics are crucial for understanding the transmission of infectious diseases. We introduce an interaction-driven model of an airborne disease over contact networks. We demonstrate our interaction-driven…

Social and Information Networks · Computer Science 2022-08-11 Alex Abbey , Yanir Marmor , Yuval Shahar , Osnat Mokryn

While much work focuses on the impacts of the pandemic on people's psychological and physical health, it is still unclear about the practical changes and adaptations. In this work, we interviewed 46 participants who were forced to work from…

Computers and Society · Computer Science 2021-09-29 Jie Cai , Sarah J Ryu , Hyejin Hannah Kum-Biocca , Donghee Yvette Wohn

When considering airborne epidemic spreading in social systems, a natural connection arises between mobility and epidemic contacts. As individuals travel, possibilities to encounter new people either at the final destination or during the…

Physics and Society · Physics 2024-05-10 Jesús A. Moreno López , Sandro Meloni , Jose J. Ramasco

Social distancing is widely acknowledged as an effective public health policy combating the novel coronavirus. But extreme social distancing has costs and it is not clear how much social distancing is needed to achieve public health…

Applications · Statistics 2021-08-11 Bo Zhang , Siyu Heng , Ting Ye , Dylan S. Small

With the onset of the COVID-19 pandemic, a number of public policy measures have been developed to curb the spread of the virus. However, little is known about the attitudes towards stay-at-home orders expressed on social media despite the…

Regional quarantine policies, in which a portion of a population surrounding infections are locked down, are an important tool to contain disease. However, jurisdictional governments -- such as cities, counties, states, and countries -- act…

Physics and Society · Physics 2021-06-10 Arun G. Chandrasekhar , Paul Goldsmith-Pinkham , Matthew O. Jackson , Samuel Thau

During the COVID-19 epidemic, many health professionals started using mass communication on social media to relay critical information and persuade individuals to adopt preventative health behaviors. Our group of clinicians and nurses…

Different measures have been proposed to predict whether individuals will adopt a new behavior in online social networks, given the influence produced by their neighbors. In this paper, we show one can achieve significant improvement over…

Social and Information Networks · Computer Science 2017-05-09 Ericsson Marin , Ruocheng Guo , Paulo Shakarian
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