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 …

Complex networks have emerged as a simple yet powerful framework to represent and
analyze a wide range of complex systems. The problem of ranking the nodes and the edges …

Recommender systems use data on past user preferences to predict possible future likes
and interests. A key challenge is that while the most useful individual recommendations are …

The efficiency of institutionalized punishment is studied by evaluating the stationary states in
the spatial public goods game comprising unconditional defectors, cooperators, and …

Acoustic-based music recommender systems have received increasing interest in recent
years. Due to the semantic gap between low level acoustic features and high level music …

Choosing a higher education course at university is not an easy task for students. A wide
range of courses are offered by the individual universities whose delivery mode and entry …

Based on the user-tag-object tripartite graphs, we propose a recommendation algorithm that
makes use of social tags. Besides its low cost of computational time, the experimental results …

In general-purpose microprocessors, recent trends have pushed towards 64 bit word widths,
primarily to accommodate the large addressing needs of some programs. Many integer …

In the past decade, Social Tagging Systems have attracted increasing attention from both
physical and computer science communities. Besides the underlying structure and dynamics …