The development of information gathering and extraction technology has led to the
popularity of multi-view data, which enables samples to be seen from numerous …

In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, and …

Generative AI that can produce realistic text, images, and other human-like outputs is
currently transforming many different industries. Yet it is not yet known how such tools might …

The impact of the Internet across multiple aspects of modern society is clear. However, the
influence that it may have on our brain structure and functioning remains a central topic of …

Egocentric network analysis is used widely across the social sciences, especially in
anthropology, political science, economics, and sociology, and is increasingly being …

An innovative and accessible guide to doing social research in the digital age. In just the
past several years, we have witnessed the birth and rapid spread of social media, mobile …

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Multilayer networks is a rising topic in Network Science which characterizes the structure
and the function of complex systems formed by several interacting networks. Multilayer …

Social computing systems such as Twitter present new research sites that have provided
billions of data points to researchers. However, the availability of public social media data …

Research on graph representation learning has received great attention in recent years
since most data in real-world applications come in the form of graphs. High-dimensional …