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Monitoring group mobility and structure is crucial for public safety management and emergency evacuation. In this paper, we propose a fine-grained mobility classification and structure recognition approach for social groups based on hybrid sensing using mobile devices. First, we present a method which classifies group mobility into four levels, including stationary, strolling, walking and running...
With the development of mobile sensing and mobile social networking techniques, mobile crowd sensing and computing (MCSC), which leverages heterogeneous crowdsourced data for large-scale sensing, has become a leading paradigm. Built on top of the participatory sensing vision, MCSC has two characteristic features: it leverages heterogeneous crowdsourced data from two data sources: participatory sensing...
Mobile crowd sensing and computing (MCSC) is a large-scale sensing and collective knowledge discovery paradigm that fuses human and machine intelligence. This article describes the content of human and machine intelligence, their complementary roles, and their potential collaboration modes in MCSC. The authors also discuss the challenges that arise from using human intelligence in MCSC systems. They...
The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves...
Data revealing lots of facets about cities are becoming increasingly available, which provides an unprecedented opportunity to get and understand a whole picture of how cities work. In this paper, we first give a brief introduction to the study of data-driven smarter cities (D2SC); second, we introduce and classify some common data available about cities; third, we present four main research objects...
Nowadays, as social activities in the real world are getting more and more popular, it is important to understand the social interaction features and the social contexts of users (meetings, social gatherings, etc.) to support social activity organization. By leveraging the social context and activities of users, various services can be provided (e.g., recommendation of friends, activities, etc.)....
In modern life, people are involved in multiple online and offline social communities. Previous works on content sharing and information dissemination are single-community oriented. The complementary features as well as the joint-effect of distinct forms of social communities, however, has not been well explored. In this paper, we present hybrid social networking (HSN), which highlights the interweaving...
With the development of wireless communication, the popularity of smart phones, the increasing of social networking services, mobile social networking has become a hot research topic. The characteristics of mobile devices and requirements of services in social environments raise a challenge on building a platform for mobile social services. In this paper, we elaborate a flexible system architecture...
With the development of sensing, wireless communication, and Internet technologies, we are now living in a world that is filled with various smart things ¨C the Internet of Things. This paper introduces and prospects an emerging research area ¨C Embedded Intelligence (EI), which aims at revealing the individual behaviors, spatial contexts, as well as social patterns and urban dynamics by mining the...
Social and community intelligence research aims to reveal individual and group behaviors, social interactions, and community dynamics by mining the digital traces that people leave while interacting with Web applications, static infrastructure, and mobile and wearable devices.
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