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 …

Recommender systems are challenging research problems being exploited to suggest new
items or services, such as books, music and movies, and even people, to users based on …

The Twittersphere often offers valuable information about current events. However, despite
the enormous quantity of tweets regarding online retailing, we know little about customers' …

Despite the global popularity of ride-hailing services, frequent events in recent years have
caused the public to query and even refuse to adopt ride-hailing. The public's attitudes are …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

In many cases, it is time-consuming for researchers to find proper collaborators who can
provide researching guidance besides simply collaborating. The Most Beneficial …

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 …

Understanding people's expertise is not a trivial task since it is time-consuming when
manually executed. Automated approaches have become a topic of research in recent years …

Nowadays plenty of user-generated posts, eg, sina weibos, are published on the social
media. The posts contain the public's sentiments (ie, positive or negative) towards various …

This paper addresses the problem of finding rising stars in academic social networks. Rising
stars are the authors which have low research profile in the beginning of their career but …