Link prediction is a paradigmatic problem in network science, which aims at estimating the
existence likelihoods of nonobserved links, based on known topology. After a brief …

This article provides an overview of the recent literature on the use of internet-based testing
to address important questions in perception research. Our goal is to provide a starting point …

Social media influencers as human brands: an interactive marketing perspective | Emerald
Insight Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …

The unexpected rise of populist parties and candidates across developed democracies and
the recent uptick in political violence in countries such as Myanmar, Sri Lanka, and India …

The prediction of interactions in protein networks is very critical in various biological
processes. In recent years, scientists have focused on computational approaches to predict …

The wide availability of user-provided content in online social media facilitates the
aggregation of people around common interests, worldviews, and narratives. However, the …

Link prediction is one of the most widely studied problems in the area of complex network
analysis, in which machine learning techniques can be applied to deal with it. The biggest …

Research on social media and research on correcting misinformation are both growing
areas in communication, but for the most part they have not found common ground. This …

In social networks, link prediction predicts missing links in current networks and new or
dissolution links in future networks, is important for mining and analyzing the evolution of …

Traditional fact checking by expert journalists cannot keep up with the enormous volume of
information that is now generated online. Computational fact checking may significantly …