In the fast-growing scholarly big data background, social network technologies have recently
aroused widespread attention in academia and industry. The concept of academic social …

With the rapid evolution of scientific research, there are a huge volume of papers published
every year and the number of scholars is also growing fast. How to effectively predict the …

Community question answering (CQA) represents the type of Web applications where
people can exchange knowledge via asking and answering questions. One significant …

Young scholars in academia often seek to work in collaboration with top researchers in their
field in pursuit of a successful career. While success in academia can be defined differently …

Big Data (ie, social big data, vehicular big data, healthcare big data etc) points to massive
and complex data, that require special technologies and approaches for storage …

Online bibliographic databases are powerful resources for research in data mining and
social network analysis especially co-author networks. Predicting future rising stars is to find …

The assessment and evaluation of the academic influence of the researcher is a challenging
task. This task allows the scientific community to make valuable decisions, such as …

Purpose This study reviews the methods found in the literature for the ranking of authors,
identifies the pros and cons of these methods, discusses and compares these methods. The …

In today's complex academic environment the process of performance evaluation of scholars
is becoming increasingly difficult. Evaluation committees often need to search in several …

Topic modeling methods have usually been applied in the past to identify the research
interests of researchers. Observing the scientific growth, the trending topics can be identified …