Identifying important scholarly literature at an early stage is vital to the academic research
community and other stakeholders such as technology companies and government bodies …

Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

Many march tests have already been designed to cover faults of different fault models. The
complexity of these tests arises when linked faults are taken into consideration. This paper …

Link prediction is a fundamental problem in social network analysis. The key technique in
unsupervised link prediction is to find an appropriate similarity measure between nodes of a …

Analyzing drug-drug interactions may unravel previously unknown drug action patterns,
leading to the development of new drug discovery tools. We present a new approach to …

Link prediction in protein–protein interaction networks (PPINs) is an important task in
biology, since the vast majority of biological functions involve such protein interactions. Link …

Within the last few years a lot of research has been done on large social and information
networks. One of the principal challenges concerning complex networks is link prediction …

Many open-source software projects depend on a few core developers, who take over both
the bulk of coordination and programming tasks. They are supported by peripheral …

A typical recommender setting is based on two kinds of relations: similarity between users
(or between objects) and the taste of users towards certain objects. In environments such as …

Exploring a community is an important aspect of social network analysis because it can be
seen as a crucial way to decompose specific graphs into smaller graphs based on …