Daily activity data that records individuals' various types of activities in daily life are widely
used in many applications such as activity scheduling, activity recommendation, and …

Location-based social networks (LBSNs) have been studied extensively in recent years.
However, utilizing real-world LBSN data sets yields several weaknesses: sparse and small …

Social metaverse with VR has been viewed as a paradigm shift for social media. However,
most traditional VR social platforms ignore emerging characteristics in a metaverse, thereby …

The ability to faithfully represent real social networks is critical from the perspective of testing
various what-if scenarios which are not feasible to be implemented in a real system as the …

Abstract We introduce the Urban Life agent-based simulation used by the Ground Truth
program to capture the innate needs of a human-like population and explore how such …

Human mobility and social networks have received considerable attention from researchers
in recent years. What has been sorely missing is a comprehensive data set that not only …

Data generators have been heavily used in creating massive trajectory datasets to address
common challenges of real-world datasets, including privacy, cost of data collection, and …

Location-Based Social Networks can be profitably exploited to characterize citizens'
activities in urban environments. However, collecting LBSN is potentially challenging due to …

Daily activity data recording individuals' various activities in daily life are widely used in
many applications such as activity scheduling, activity recommendation, and policymaking …

One of the constraints in Wireless Sensor Network (WSN) is the limited power of distributed
interconnected sensor nodes over the space. There are several proposed architectures for …