Network science provides a set of quantitative methods to investigate complex systems,
including human cognition. Although cognitive theories in different domains are strongly …

Modelling the structure of cognitive systems is a central goal of the cognitive sciences—a
goal that has greatly benefitted from the application of network science approaches. This …

Social media are digitalizing massive amounts of users' cognitions in terms of timelines and
emotional content. Such Big Data opens unprecedented opportunities for investigating …

A fundamental goal of education is to inspire and instill deep, meaningful, and long-lasting
conceptual change within the knowledge landscapes of students. This commentary posits …

The mental lexicon is a complex cognitive system representing information about the
words/concepts that one knows. Over decades psychological experiments have shown that …

Discovering the most suitable network structure of the learning domain represents one of the
main challenges of knowledge delivery and acquisition. We propose a multidimensional …

Investigating instances where lexical selection fails can lead to deeper insights into the
cognitive machinery and architecture supporting successful word retrieval and speech …

Contemporary psycholinguistic models place significant emphasis on the cognitive
processes involved in the acquisition, recognition, and production of language but neglect …

A large body of research seeking to explore how form affects lexical processing in bilinguals
has suggested that orthographically similar translations (eg, English-Portuguese “paper …

Abstract In this Point of View, we review a number of recent discoveries from the emerging,
interdisciplinary field of Network Science, which uses graph theoretic techniques to …