Maxwell H Wang,Jukka-Pekka Onnela
Maxwell H Wang
Individual-based models of contagious processes are useful for predicting epidemic trajectories and informing intervention strategies. In such models, the incorporation of contact network information can capture the non-randomness and heter...
Tiago Simas,Rion Brattig Correia,Luis M Rocha
Tiago Simas
Redundancy needs more precise characterization as it is a major factor in the evolution and robustness of networks of multivariate interactions. We investigate the complexity of such interactions by inferring a connection transitivity that ...
Framework for converting mechanistic network models to probabilistic models [0.03%]
关于将机制网络模型转换为概率模型的框架
Ravi Goyal,Victor De Gruttola,Jukka-Pekka Onnela
Ravi Goyal
There are two prominent paradigms for the modelling of networks: in the first, referred to as the mechanistic approach, one specifies a set of domain-specific mechanistic rules that are used to grow or evolve the network over time; in the s...
Modelling the impact of social distancing and targeted vaccination on the spread of COVID-19 through a real city-scale contact network [0.03%]
基于真实城市规模接触网络模拟社交距离和精准疫苗接种对新冠肺炎传播的影响
Gavin S Hartnett,Edward Parker,Timothy R Gulden et al.
Gavin S Hartnett et al.
We use mobile device data to construct empirical interpersonal physical contact networks in the city of Portland, Oregon, both before and after social distancing measures were enacted during the COVID-19 pandemic. These networks reveal how ...
Graph-based feature extraction and classification of wet and dry cough signals: a machine learning approach [0.03%]
基于图形的湿咳和干咳信号特征提取与分类：一种机器学习方法
A Renjini,M S Swapna,Vimal Raj et al.
A Renjini et al.
This article proposes a unique approach to bring out the potential of graph-based features to reveal the hidden signatures of wet (WE) and dry (DE) cough signals, which are the suggestive symptoms of various respiratory ailments like COVID ...
The role of age in the spreading of COVID-19 across a social network in Bucharest [0.03%]
年龄在布加勒斯特社会网络中COVID-19传播中的作用
Marian-Gabriel Hâncean,Jürgen Lerner,Matjaž Perc et al.
Marian-Gabriel Hâncean et al.
We analyse officially procured data detailing the COVID-19 transmission in Romania's capital Bucharest between 1st August and 31st October 2020. We apply relational hyperevent models on 19,713 individuals with 13,377 infection ties to deter...
The impact of human mobility networks on the global spread of COVID-19 [0.03%]
人类流动网络对2019冠状病毒病全球传播的影响
Marian-Gabriel Hâncean,Mitja Slavinec,Matjaž Perc
Marian-Gabriel Hâncean
Human mobility networks are crucial for a better understanding and controlling the spread of epidemics. Here, we study the impact of human mobility networks on the COVID-19 onset in 203 different countries. We use exponential random graph m...
Pavel Skums,Leonid Bunimovich
Pavel Skums
Fractals are geometric objects that are self-similar at different scales and whose geometric dimensions differ from so-called fractal dimensions. Fractals describe complex continuous structures in nature. Although indications of self-simila...
Sen Pei,Jiannan Wang,Flaviano Morone et al.
Sen Pei et al.
The integrity and functionality of many real-world complex systems hinge on a small set of pivotal nodes, or influencers. In different contexts, these influencers are defined as either structurally important nodes that maintain the connecti...
Sixing Chen,Antonietta Mira,Jukka-Pekka Onnela
Sixing Chen
Network models are applied across many domains where data can be represented as a network. Two prominent paradigms for modelling networks are statistical models (probabilistic models for the observed network) and mechanistic models (models ...