With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …

Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

The authors analyzed data from multiple large-scale randomized experiments on LinkedIn's
People You May Know algorithm, which recommends new connections to LinkedIn …

We studied the effects of exposure to reshared content on Facebook during the 2020 US
election by assigning a random set of consenting, US-based users to feeds that did not …

Enabling effective and efficient machine learning (ML) over large-scale graph data (eg,
graphs with billions of edges) can have a great impact on both industrial and scientific …

We commonly think of society as made of and by humans, but with the proliferation of
machine learning and AI technologies, this is clearly no longer the case. Billions of …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

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 …

The dominant graph neural networks (GNNs) over-rely on the graph links, several serious
performance problems with which have been witnessed already, eg, suspended animation …

Facebook is rapidly gaining recognition as a powerful research tool for the social sciences. It
constitutes a large and diverse pool of participants, who can be selectively recruited for both …