Network sampling coverage II: The effect of non-random missing data on network measurement [0.03%]
网络采样覆盖率二：非随机缺失数据对网络测量的影响
Jeffrey A Smith,James Moody,Jonathan Morgan
Jeffrey A Smith
Missing data is an important, but often ignored, aspect of a network study. Measurement validity is affected by missing data, but the level of bias can be difficult to gauge. Here, we describe the effect of missing data on network measureme...
Anna Smith,Catherine A Calder,Christopher R Browning
Anna Smith
Network analysis has become an increasingly prevalent research tool across a vast range of scientific fields. Here, we focus on the particular issue of comparing network statistics, i.e. graph-level measures of network structural features, ...
Multiple Imputation for Missing Edge Data: A Predictive Evaluation Method with Application to Add Health [0.03%]
针对缺失边数据的多重插补：一种预测评估方法及其在Add Health中的应用
Cheng Wang,Carter T Butts,John R Hipp et al.
Cheng Wang et al.
Recent developments have made model-based imputation of network data feasible in principle, but the extant literature provides few practical examples of its use. In this paper we consider 14 schools from the widely used In-School Survey of ...
Seeing and Being Seen: Predictors of Accurate Perceptions about Classmates' Relationships [0.03%]
感同身受：同学关系的准确感知预测因素
Jennifer Watling Neal,Zachary P Neal,Elise Cappella
Jennifer Watling Neal
This study examines predictors of observer accuracy (i.e. seeing) and target accuracy (i.e. being seen) in perceptions of classmates' relationships in a predominantly African American sample of 420 second through fourth graders (ages 7 - 11...
Jesse Shore,Catherine J Chu,Matt T Bianchi
Jesse Shore
What makes economic and ecological networks so unlike other highly skewed networks in their tendency toward turbulence and collapse? Here, we explore the consequences of a defining feature of these networks: their nodes are tied together by...
Research Note: The consequences of different methods for handling missing network data in Stochastic Actor Based Models [0.03%]
处理缺失网络数据的不同方法对基于演员的随机模型的影响研究
John R Hipp,Cheng Wang,Carter T Butts et al.
John R Hipp et al.
Although stochastic actor based models (e.g., as implemented in the SIENA software program) are growing in popularity as a technique for estimating longitudinal network data, a relatively understudied issue is the consequence of missing net...
Paulina Preciado,Tom A B Snijders,William J Burk et al.
Paulina Preciado et al.
Geographic proximity is a determinant factor of friendship. Friendship datasets that include detailed geographic information are scarce, and when this information is available, the dependence of friendship on distance is often modelled by p...
Adolescent Aggression: The Role of Peer Group Status Motives, Peer Aggression, and Group Characteristics [0.03%]
青少年攻击性行为：同伴群体地位动机、同伴攻击性和群体特征的作用
Robert Faris,Susan Ennett
Robert Faris
Recent studies of youth aggression have emphasized the role of network-based peer influence processes. Other scholars have suggested that aggression is often motivated by status concerns. We integrate these two veins of research by consider...
Modelling the evolution of a bi-partite network Peer referral in interlocking directorates [0.03%]
双重董事会中的同行推荐 bipartite网络演化模型
Johan Koskinen,Christofer Edling
Johan Koskinen
A central part of relational ties between social actors are constituted by shared affiliations and events. The action of joint participation reinforces personal ties between social actors as well as mutually shared values and norms that in ...
Disaster Response on September 11, 2001 Through the Lens of Statistical Network Analysis [0.03%]
透过统计网络分析 lens看 2001年9月11日灾后响应工作
Michael Schweinberger,Miruna Petrescu-Prahova,Duy Quang Vu
Michael Schweinberger
The rescue and relief operations triggered by the September 11, 2001 attacks on the World Trade Center in New York City demanded collaboration among hundreds of organisations. To shed light on the response to the September 11, 2001 attacks ...