Clara Pizzuti,Annalisa Socievole,Bastian Prasse et al.
Clara Pizzuti et al.
Initially emerged in the Chinese city Wuhan and subsequently spread almost worldwide causing a pandemic, the SARS-CoV-2 virus follows reasonably well the Susceptible-Infectious-Recovered (SIR) epidemic model on contact networks in the Chine...
Lorenzo Prandi,Giuseppe Primiero
Lorenzo Prandi
The role of misinformation diffusion during a pandemic is crucial. An aspect that requires particular attention in the analysis of misinfodemics is the rationale of the source of false information, in particular how the behavior of agents s...
Michael Gomez,Susana Garcia,Sarah Rajtmajer et al.
Michael Gomez et al.
Supply chains enable the flow of goods and services within economic systems. When mapped for the entire economy and geographic locations of a country, supply chains form a spatial web of interactions among suppliers and buyers. One way to c...
A multi-agent model to study epidemic spreading and vaccination strategies in an urban-like environment [0.03%]
用于研究城市环境中流行病传播和疫苗接种策略的多智能体模型
Matthieu Nadini,Lorenzo Zino,Alessandro Rizzo et al.
Matthieu Nadini et al.
Worldwide urbanization calls for a deeper understanding of epidemic spreading within urban environments. Here, we tackle this problem through an agent-based model, in which agents move in a two-dimensional physical space and interact accord...
Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering [0.03%]
多视角聚类在2020年COVID-19疫情期间对Twitter上 hashtags使用群体的刻画
Iain J Cruickshank,Kathleen M Carley
Iain J Cruickshank
The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insights into discussion topics and how those topics evolve over th...
Luca De Benedictis,Silvia Leoni
Luca De Benedictis
The Erasmus Program (EuRopean community Action Scheme for the Mobility of University Students), the most important student exchange program in the world, financed by the European Union and started in 1987, is characterized by a strong gende...
Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei [0.03%]
基于网络推断的在中国湖北省爆发的COVID-19疫情预测
Bastian Prasse,Massimo A Achterberg,Long Ma et al.
Bastian Prasse et al.
At the moment of writing, the future evolution of the COVID-19 epidemic is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures. We consider a network-based model to describe th...
Normalised degree variance [0.03%]
标准化度方差
Keith M Smith,Javier Escudero
Keith M Smith
Finding graph indices which are unbiased to network size and density is of high importance both within a given field and across fields for enhancing comparability of modern network science studies. The degree variance is an important metric...
Farzaneh Heidari,Manos Papagelis
Farzaneh Heidari
Large-scale network mining and analysis is key to revealing the underlying dynamics of networks, not easily observable before. Lately, there is a fast-growing interest in learning low-dimensional continuous representations of networks that ...
Towards intelligent complex networks: the space and prediction of information walks [0.03%]
面向智能复杂网络：信息游走的空间与预测
Chuankai An,A James O&#x;Malley,Daniel N Rockmore
Chuankai An
In this paper we study the problem of walk-specific information spread in directed complex social networks. Classical models usually analyze the "explosive" spread of information on social networks (e.g., Twitter) - a broadcast or epidemiol...