Incorporating dynamic flight network in SEIR to model mobility between populations [0.03%]
结合动态飞行网络的SEIR模型.mobility-between-populations
Xiaoye Ding,Shenyang Huang,Abby Leung et al.
Xiaoye Ding et al.
Current efforts of modelling COVID-19 are often based on the standard compartmental models such as SEIR and their variations. As pre-symptomatic and asymptomatic cases can spread the disease between populations through travel, it is importa...
A novel algorithm for finding top-k weighted overlapping densest connected subgraphs in dual networks [0.03%]
一种在双层网络中寻找拓扑重叠的k个加权最密子图的新算法
Riccardo Dondi,Mohammad Mehdi Hosseinzadeh,Pietro H Guzzi
Riccardo Dondi
The use of networks for modelling and analysing relations among data is currently growing. Recently, the use of a single networks for capturing all the aspects of some complex scenarios has shown some limitations. Consequently, it has been ...
Correlation networks of air particulate matter ( [Formula: see text] ): a comparative study [0.03%]
颗粒物( PM[substance/2.0] )关联网络：比较研究
Dimitrios M Vlachogiannis,Yanyan Xu,Ling Jin et al.
Dimitrios M Vlachogiannis et al.
Over the last decades, severe haze pollution constitutes a major source of far-reaching environmental and human health problems. The formation, accumulation and diffusion of pollution particles occurs under complex temporal scales and expan...
Modeling partial lockdowns in multiplex networks using partition strategies [0.03%]
基于分区策略的多重网络部分封锁模型研究
Adrià Plazas,Irene Malvestio,Michele Starnini et al.
Adrià Plazas et al.
National stay-at-home orders, or lockdowns, were imposed in several countries to drastically reduce the social interactions mainly responsible for the transmission of the SARS-CoV-2 virus. Despite being essential to slow down the COVID-19 p...
Dank or not? Analyzing and predicting the popularity of memes on Reddit [0.03%]
乐不乐意？分析和预测Reddit上的表情包的流行度
Kate Barnes,Tiernon Riesenmy,Minh Duc Trinh et al.
Kate Barnes et al.
Internet memes have become an increasingly pervasive form of contemporary social communication that attracted a lot of research interest recently. In this paper, we analyze the data of 129,326 memes collected from Reddit in the middle of Ma...
Characterizing network dynamics of online hate communities around the COVID-19 pandemic [0.03%]
新冠肺炎疫情期间网上仇恨团体的网络动态特征分析
Joshua Uyheng,Kathleen M Carley
Joshua Uyheng
Hate speech has long posed a serious problem for the integrity of digital platforms. Although significant progress has been made in identifying hate speech in its various forms, prevailing computational approaches have tended to consider it...
Martin Sterchi,Cristina Sarasua,Rolf Grütter et al.
Martin Sterchi et al.
Epidemic spreading is a widely studied process due to its importance and possibly grave consequences for society. While the classical context of epidemic spreading refers to pathogens transmitted among humans or animals, it is straightforwa...
Lost and found: applying network analysis to public health contact tracing for HIV [0.03%]
应用网络分析方法进行艾滋病公共卫生接触追踪研究
Dana K Pasquale,Irene A Doherty,Peter A Leone et al.
Dana K Pasquale et al.
Infectious disease surveillance is often case-based, focused on people diagnosed and their contacts in a predefined time window, and treated as independent across infections. Network analysis of partners and contacts joining multiple invest...
Effects of population co-location reduction on cross-county transmission risk of COVID-19 in the United States [0.03%]
人口共置减少对美国县际COVID-19传播风险的影响
Chao Fan,Sanghyeon Lee,Yang Yang et al.
Chao Fan et al.
The objective of this study is to examine the transmission risk of COVID-19 based on cross-county population co-location data from Facebook. The rapid spread of COVID-19 in the United States has imposed a major threat to public health, the ...
Social mobilization and polarization can create volatility in COVID-19 pandemic control [0.03%]
社交动员和政治极化可能会影响新冠疫情防控的稳定性
Inho Hong,Alex Rutherford,Manuel Cebrian
Inho Hong
During the COVID-19 pandemic, political polarization has emerged as a significant threat that inhibits coordinated action of central and local institutions reducing the efficacy of non-pharmaceutical interventions (NPIs). Yet, it is not wel...