Graph neural networks (GNNs) have made rapid developments in the recent years. Due to
their great ability in modeling graph-structured data, GNNs are vastly used in various …

For decades, psychological research has examined the extent to which children's and
adolescents' behavior is influenced by the behavior of their peers (ie, peer influence effects) …

Dynamic networks are used in a wide range of fields, including social network analysis,
recommender systems and epidemiology. Representing complex networks as structures …

Scholars increasingly focus on the tie stability of firms' alliance networks and regard
innovation as its consequence. However, they overlook that a firm's innovation performance …

Does X affect Y? Answering this question is particularly difficult if reverse causality is
looming. Many social scientists turn to panel data to address such questions of causal …

Societal transformations are necessary to address critical global challenges, such as
mitigation of anthropogenic climate change and reaching UN sustainable development …

We are in the midst of a global transition in which digital “screens” are no longer simply
entertainment devices and distractions; rather, adolescents are currently living in a hybrid …

Various tools and methods are used in participatory modelling, at different stages of the
process and for different purposes. The diversity of tools and methods can create challenges …

Recent years have seen a resurgence of interest in the relation between networks and
spatial context. This review examines critically a selection of the literature on how physical …

Individuals with depressive symptoms are more likely to be isolated in their social networks,
which can further increase their symptoms. Although social interactions are an important …