Many real-world relations can be represented by signed networks with positive and negative
links, as a result of which signed network analysis has attracted increasing attention from …

In online social networks people often express attitudes towards others, which forms
massive sentiment links among users. Predicting the sign of sentiment links is a fundamental …

Link recommendation has attracted significant attention from both industry practitioners and
academic researchers. In industry, link recommendation has become a standard and most …

We propose a temporal latent space model for link prediction in dynamic social networks,
where the goal is to predict links over time based on a sequence of previous graph …

Supervised machine learning techniques have already been widely studied and applied to
various real-world applications. However, most existing supervised algorithms work well …

A large-scale dynamically weighted directed network (DWDN) involving numerous entities
and massive dynamic interaction is an essential data source in many big-data-related …

Online social networks offering various services have become ubiquitous in our daily life.
Meanwhile, users nowadays are usually involved in multiple online social networks …

To enjoy more social network services, users nowadays are usually involved in multiple
online social media sites at the same time. Across these social networks, users can be …

This paper studies the problem of cross-network node classification to overcome the
insufficiency of labeled data in a single network. It aims to leverage the label information in a …

Trust can help participants in online social communities to make decisions; however, it is a
challenge for systems to map trust into computational models because of its subjective …