The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

Heavy-tailed distributions of meme popularity occur naturally in a model of meme diffusion
on social networks. Competition between multiple memes for the limited resource of user …

Human activities increasingly take place in online environments, providing novel
opportunities for relating individual behaviors to population-level outcomes. In this paper, we …

The traditional way of studying temporal networks is to aggregate the dynamics of the edges
to create a static weighted network. This implicitly assumes that the edges are governed by …

Most collaborative filtering recommendation algorithms use crisp ratings to represent the
users' preferences. However, users' preferences are subjective and changeable, crisp …

Despite the abundance of bipartite networked systems, their organizing principles are less
studied compared to unipartite networks. Bipartite networks are often analyzed after …

Random walks have been successfully used to measure user or object similarities in
collaborative filtering (CF) recommender systems, which is of high accuracy but low …

Network theory is a useful framework for studying interconnected systems of interacting
entities. Many networked systems evolve continuously in time, but most existing methods for …

Recommender systems are of great significance in predicting the potential interesting items
based on the target user's historical selections. However, the recommendation list for a …

Recommender systems are promising ways to filter the abundant information in modern
society. Their algorithms help individuals to explore decent items, but it is unclear how they …