Network analysis of U.S. non-fatal opioid-involved overdose journeys, 2018-2023 [0.03%]
基于2018-2023年美国阿片类药物相关非致死性过量数据的网络分析
Lucas H McCabe,Naoki Masuda,Shannon Casillas et al.
Lucas H McCabe et al.
We present a nation-wide network analysis of non-fatal opioid-involved overdose journeys in the United States. Leveraging a unique proprietary dataset of Emergency Medical Services incidents, we construct a journey-to-overdose geospatial ne...
Estimating the impact of physician risky-prescribing on the network structure underlying physician shared-patient relationships [0.03%]
医师风险处方对中国医师共同病人关系网络结构影响的估计
Xin Ran,Ellen Meara,Nancy E Morden et al.
Xin Ran et al.
Social network analysis and shared-patient physician networks have become effective ways of studying physician collaborations. Assortative mixing or "homophily" is the network phenomenon whereby the propensity for similar individuals to for...
How deep to dig: effects of web-scraping search depth on hyperlink network analysis of environmental stewardship organizations [0.03%]
掘何等深度：网页抓取搜索深度对环境管理组织超链网络分析的影响如何
Jesse S Sayles,Ryan P Furey,Marilyn R Ten Brink
Jesse S Sayles
Social network analysis (SNA) tools and concepts are essential for addressing many environmental management and sustainability issues. One method to gather SNA data is to scrape them from environmental organizations' websites. Web-based res...
Octavious Smiley,Till Hoffmann,Jukka-Pekka Onnela
Octavious Smiley
Network models are increasingly used to study infectious disease spread. Exponential Random Graph models have a history in this area, with scalable inference methods now available. An alternative approach uses mechanistic network models. Me...
A generalized eigenvector centrality for multilayer networks with inter-layer constraints on adjacent node importance [0.03%]
具有层间相邻节点重要性约束的多层网络的广义特征向心度
H Robert Frost
H Robert Frost
We present a novel approach for computing a variant of eigenvector centrality for multilayer networks with inter-layer constraints on node importance. Specifically, we consider a multilayer network defined by multiple edge-weighted, potenti...
Xiang Niu,Amr Elsisy,Noemi Derzsy et al.
Xiang Niu et al.
Understanding criminal activities, their structure and dynamics are fundamental for designing tools for crime prediction that can also guide crime prevention. Here, we study crimes committed in city community areas based on police crime rep...
Overcoming vaccine hesitancy by multiplex social network targeting: an analysis of targeting algorithms and implications [0.03%]
通过多重社交网络定位克服疫苗犹豫：目标算法与影响分析
Marzena Fügenschuh,Feng Fu
Marzena Fügenschuh
Incorporating social factors into disease prevention and control efforts is an important undertaking of behavioral epidemiology. The interplay between disease transmission and human health behaviors, such as vaccine uptake, results in compl...
Predicting variable-length paths in networked systems using multi-order generative models [0.03%]
基于多阶生成模型的预测网络系统中的可变长度路径的方法
Christoph Gote,Giona Casiraghi,Frank Schweitzer et al.
Christoph Gote et al.
Apart from nodes and links, for many networked systems, we have access to data on paths, i.e., collections of temporally ordered variable-length node sequences that are constrained by the system's topology. Understanding the patterns in suc...
Gorm Gruner Jensen,Martin Benedikt Busch,Marco Piovesan et al.
Gorm Gruner Jensen et al.
We investigate the development of cooperative behavior in networks over time. In our controlled laboratory experiment, subjects can cooperate by sending costly messages that contain valuable information for the receiver or other subjects in...
Source identification via contact tracing in the presence of asymptomatic patients [0.03%]
有无症状感染者情况下通过接触者追踪进行传染源识别
Gergely Ódor,Jana Vuckovic,Miguel-Angel Sanchez Ndoye et al.
Gergely Ódor et al.
Inferring the source of a diffusion in a large network of agents is a difficult but feasible task, if a few agents act as sensors revealing the time at which they got hit by the diffusion. One of the main limitations of current source ident...