Changes in patient-sharing patterns after oncologist departures in rural and urban settings: a Medicare cohort study [0.03%]
美国医疗保险患者的肿瘤医师离职后城乡患者流向变化模式的一项队列研究
Sarah L Cornelius,A James OMalley,Gabriel A Brooks et al.
Sarah L Cornelius et al.
Cancer care relies on effective coordination within a multidisciplinary care team. Changes to teams due to departures remain understudied despite rising oncologist turnover in the United States. In this study, we aimed to investigate the im...
Tunable network properties with Hamill and Gilbert's Social Circles generator [0.03%]
基于Hamill和Gilbert的社交圈模型生成可调网络属性的复杂网络
Cristina Chueca Del Cerro,Jennifer Badham
Cristina Chueca Del Cerro
Hamill and Gilbert (J Artif Soc Soc Simul 12, 1-23, 2009) developed the Social Circles algorithm to generate synthetic networks that have properties of real social networks such as skewed degree distribution, positive clustering coefficient...
Arash Badie-Modiri,Chiara Boldrini,Lorenzo Valerio et al.
Arash Badie-Modiri et al.
Fully decentralised federated learning enables collaborative training of individual machine learning models on a distributed network of communicating devices while keeping the training data localised on each node. This approach avoids centr...
The association of prescriber prominence in a shared-patient physician network with their patients receipt of and transitions between risky drug combinations [0.03%]
主要处方人在共患医源网络中的中心性与患者用药风险及转换关系的研究
A James OMalley,Ellen Meara,Nancy E Morden et al.
A James OMalley et al.
We are generally interested in the association between a prescribing physician's position in a physician shared-patient network and their patients' receipt of risky drug combinations. An informal physician network (not restricted to a hospi...
Influence of multiple network structures on bayesian estimation of peer effects and statistical power for generalized linear network autocorrelation models [0.03%]
多重网络结构对贝叶斯估计同伴效应及广义线性网络自相关模型统计功效影响研究
Guanqing Chen,A James OMalley
Guanqing Chen
The recent published literature on linear network autocorrelation models of actor behaviors or other mutable attributes has revealed a curious finding. Irrespective of the size of the network and the status of other network features, likeli...
Temporal dynamics of the friendship paradox in a smartphone communication network [0.03%]
智能手机通信网络中的友谊悖论的时变特性
Cheng Wang,Omar Lizardo,David S Hachen
Cheng Wang
The friendship paradox, initially discussed by Scott Feld in 1991, highlights a counterintuitive social phenomenon where individuals tend to have fewer friends than their friends do on average. The sociological implications of this paradox ...
Accounting for contact network uncertainty in epidemic inferences with Approximate Bayesian Computation [0.03%]
用Approximate Bayesian Computation方法考虑接触网络的不确定性以推断传染病流行特征
Maxwell H Wang,Jukka-Pekka Onnela
Maxwell H Wang
In models of infectious disease dynamics, the incorporation of contact network information allows for the capture of the non-randomness and heterogeneity of realistic contact patterns. Oftentimes, it is assumed that this underlying network ...
Omar F Robledo,Petter Holme,Huijuan Wang
Omar F Robledo
Temporal networks, whose network topology changes over time, are used to represent, e.g., opportunistic mobile networks, vehicle networks, and social contact networks, where two mobile devices (autos or individuals) are connected only when ...
Leading by the nodes: a survey of film industry network analysis and datasets [0.03%]
以节点引领:电影工业网络分析及数据集综述
Aresh Dadlani,Vi Vo,Ayushi Khemka et al.
Aresh Dadlani et al.
This paper presents a comprehensive survey of network analysis research on the film industry, aiming to evaluate its emergence as a field of study and identify potential areas for further research. Many foundational network studies made use...
Bayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patients [0.03%]
贝叶斯层次网络自相关模型估计同行医院对住院患者结果的直接影响和间接影响
Guanqing Chen,A James OMalley
Guanqing Chen
When an hypothesized peer effect (also termed social influence or contagion) is believed to act between units (e.g., hospitals) above the level at which data is observed (e.g., patients), a network autocorrelation model may be embedded with...