Egocentric networks represent a popular research design for network research. However, to what extent and under what conditions egocentric network centrality can serve as reasonable substitutes for their sociocentric counterparts are important questions to study. The answers to these questions are uncertain simply because of the large variety of…

The application of network meta-analysis is becoming increasingly widespread, and for a successful implementation, it requires that the direct comparison result and the indirect comparison result should be consistent. Because of this, a proper detection of inconsistency is often a key issue in network meta-analysis as whether the results can be…

While methodologies are often presented as standardised procedures which, under specified conditions, should lead to the same conclusions, this case study presents the complex and deeply personal process of research (Addey and Piattoeva 2022). We analyse our application of network ethnography -- an approach presented by Ball (2016) -- to the study…

Although agent-based models (ABMs) have been increasingly accepted in social sciences as a valid tool to formalize theory, propose mechanisms able to recreate regularities, and guide empirical research, we are not aware of any research using ABMs to assess the robustness of our statistical methods. We argue that ABMs can be extremely helpful to…

In 2014, the OECD-PISA's Governing Board approved the addition of a set of global competence measures to its Programme of Student Assessment. In our paper, we explore whether and how there are discursive shifts between the two framing papers (2016/2018) and what the outcomes are for policy-shaping. To this end, we employ Network Text Analysis to…

Current learning platforms generally have problems such as fragmented knowledge, redundant information, and chaotic learning routes, which cannot meet learners' autonomous learning requirements. This paper designs a learning path recommendation system based on knowledge graphs by using the characteristics of knowledge graphs to structurally…

The main goal of this article is to analyse the Non-Partisan School movement (EsP, or Escola sem Partido) which articulates social and political actors around a conservative agenda for education in Brazil. Based on Ball's studies, this article analyses political governance networks using a free software, GEPHI, using a qualitative network…

Demand for cybersecurity professionals from industry and institutions is high, driven by an increasing digitization of society and the growing range of potential targets for cyber attacks. However, despite this pressing need a significant shortfall in the number of cybersecurity experts remains and a discrepancy has emerged between the skills…

Causal inference under treatment interference is a challenging but important problem. Past studies usually make strong assumptions on the structure of treatment interference in order to estimate causal treatment effects while accounting for the effect of treatment interference. In this article, we view treatment diffusion as a concrete form of…

The purpose of this paper is to introduce citation networks, a novel method for identifying field connections, and to elaborate a theory of spatiality that deploys the metaphors of bubbles and foams to imagine space and change. After introducing the method and theory that guide this investigation, the author will introduce and describe the foams…

Institutions are increasingly redesigning academic learning spaces with the aim of enhancing learning outcomes. Existing research into this phenomenon has shown promise regarding how these new spaces are being designed and used; however, there has been much less effort towards developing a language for analysing the emergent learning activity…

Prior literature suggests a social network perspective is instructive for understanding and building research-use capacity. Although educators' professional networks have been found to contribute the implementation of reform, professional learning, and instructional improvement, evidence about their role in supporting schools' use of research…

We investigate the sub-networks involved in education policy in Israel in recent years, using Mixed Methods Social Networks Analysis - drawn from combined analysis of qualitative and quantitative data. Our objective was to comprehensively explore the Israeli education policy network to deliver an understanding of its structure, actors, and…

Like learning analytics, physics education research is a relatively young field that draws on perspectives from multiple disciplines. Network analysis has an even more heterodox perspective, with roots in mathematics, sociology, and, more recently, computer science and physics. This paper reviews how network analysis has been used in physics…

This commentary discusses how research approaches from Cognitive Network Science can be of relevance to research in the field of Learning Analytics, with a focus on modelling the knowledge representations of learners and students as a network of interrelated concepts. After providing a brief overview of research in Cognitive Network Science, I…