Network meta-analysis combines direct and indirect evidence to compare multiple treatments. As direct evidence for one treatment contrast may be indirect evidence for other treatment contrasts, biases in the direct evidence for one treatment contrast may affect not only the estimate for this particular treatment contrast but also estimates of…

We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…

This article introduces a network approach to describe the quality of written scientific explanations. Existing approaches evaluate explanations mainly on the level of sentences or as a whole but not on the elementary level of single terms. Moreover, evaluation of explanations is often based on highly inferential scoring techniques. We addressed…

Effect modification (EM) may cause bias in network meta-analysis (NMA). Existing population adjustment NMA methods use individual patient data to adjust for EM but disregard available subgroup information from aggregated data in the evidence network. Additionally, these methods often rely on the shared effect modification (SEM) assumption. In this…

Built environment research has long been interested in understanding the complexities of transitional spaces by investigating their hosted interactions. One approach used in efforts of this kind is actor-network theory (ANT), which conceptualizes built spaces as networks of relations that allow for certain interactions but not others. Previous…

The purpose of this study is to examine the effect of material incentives on the knowledge-sharing networks and information lifecycles of a public online forum. The users' interaction data were collected from two similar sub-forums, and one of them provided material incentives for sharing knowledge. After collecting user behaviors for one natural…

The field of higher education research is fast-growing, both in number of publications and in geographical reach. There is however limited evidence on how this growth in publication influences the structure of the underlying co-authorship network. This is important as structural network parameters can change quickly in a fast-growing network,…

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…

This paper presents the results of a study that investigated technical and professional educational policies in both Brazil and Mexico, and the relations of these two countries with international networks of educational organizations. The focus is on the three international organizations that have had the most influence on public education…

This article analyzes the Common Core State Standards initiative as an innovation network. Using narrative data and quantitative analysis of hypertext linkages on the World Wide Web, we describe a network of about 3200 organizations that arose to scale up the Common Core State Standards and link them to aligned academic resources such as…

Purpose: School leaders rely on a number of collaborative policy tools to address fiscal and governance issues. While prior research has examined the dynamics and implications of research-practice and public-private partnerships, this study addresses a third form of collaboration: interdistrict cooperative agreements. Method: We develop a unique…

Textbooks can have a fundamental and positive effect on both learning and teaching. As such, in order to understand how students structure concepts in their minds, it is necessary to analyze the structure in which those concepts presented in textbooks are described. This study examined a network of concepts used in the domain of biotechnology in…

Network models of the WAIS-IV based on regularized partial correlation matrices have been reported to outperform latent variable models based on uncorrected correlation matrices. The present study sought to compare network and latent variable models using both partial and uncorrected correlation matrices with both types of models. The results show…

It is often challenging to present the available evidence in a timely and comprehensible manner. We aimed to visualize the evolution of evidence about antidepressants for depression by conducting cumulative network meta-analyses (NMAs) and to examine whether it could have helped the selection of optimal drugs. We built a Shiny web application that…

Over the past 20 years, international student mobility has experienced a three-fold increase, as planned and emerging education hubs have attracted increasing numbers of students. The appeal of alternative destinations is strengthened by their cultural, linguistic, and geographic proximity, as well as a growing number of internationally ranked…