People share their views and daily life experiences on social networks and form a network
structure. The information shared on social networks can be unreliable, and detecting such …

Understanding and predicting human motion behavior with social interactions have become
an increasingly crucial problem for a vast number of applications, ranging from visual …

Crowdsourcing and crowd computing are a trend that is likely to be increasingly popular,
and there remain a number of research and operational challenges that need to be …

Abstract Advances in Online Social Networks is creating huge data day in and out providing
lot of opportunities to its users to express their interest and opinion. Due to the popularity …

Cyber-physical-social (CPS) systems integrate Big Data Collectors (BDCs), Service
Organizers (SOs) and users to build a unified data-centric computing framework. In CPS …

Leveraging social and communication technologies, we can digitally observe that the
collective attention typically exhibits a heterogeneous structure. It shows that people's …

Social computing which analyzes users' behaviors can help personalized recommender
system to extract preferences of users. Most of personalized recommender systems exploit a …

There has been growing interest in leveraging Web-based social and communication
technologies for better crisis response. How might the Web platforms be used as an …

In the field of instant voice communication (IVC) steganalysis, the traditional detecting
methods are mainly based on supervised learning scheme that results in a large amount of …

In this study, we discuss issues in the traditional evaluation norms of trend forecasts, outline
a suitable evaluation method, propose an evaluation dataset construction procedure, and …