Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

China has experienced an outstanding economic expansion during the past decades,
however, literature on non-monetary metrics that reveal the status of China's regional …

In recommender systems, many efforts have been made on utilizing textual information in
matrix factorization to alleviate the problem of data sparsity. Recently, some of the works …

The purpose of this research is to examine the effects of trust transfer and online contents on
purchase intention in the online-to-offline e-commerce. A partial least squares based …

How to identify influential nodes in complex networks is still an open issue. In this paper, a
new multi-evidence centrality is proposed based on evidence theory. The existing measures …

Online review networks have become a popular platform for disseminating information
which attracts large numbers of spammers to influence the reputation of the online products …

Abstract Personalized Recommender Systems (RS) are used to help people reduce the
amount of time they spend to find items they are interested in. Collaborative Filtering (CF) is …

With the increasing popularity of Internet-related techniques, decision-making problems with
large-scale alternatives from multiple online platforms, such as consumer choice decisions …

Cloud applications based on service-oriented architectures usually integrate many
component services to implement specific application logic. In service-oriented computing …