On-line platforms foster the communication capabilities of the Internet to develop large-scale
influence networks in which the quality of the interactions can be evaluated based on trust …

Over the past two decades, a large amount of research effort has been devoted to
developing algorithms that generate recommendations. The resulting research progress has …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

Weighted signed networks (WSNs) are networks in which edges are labeled with positive
and negative weights. WSNs can capture like/dislike, trust/distrust, and other social …

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 prediction in complex networks has attracted increasing attention from both physical
and computer science communities. The algorithms can be used to extract missing …

The ongoing rapid expansion of the Internet greatly increases the necessity of effective
recommender systems for filtering the abundant information. Extensive research for …

Network embedding has received increasing research attention in recent years. The existing
methods show that the high-order proximity plays a key role in capturing the underlying …

In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …

Today the Internet plays a role in the lives of nearly 40% of the world's population, and it is
becoming increasingly entwined in daily life. This growing presence is transforming …