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Issue No.04 - July-Aug. (2012 vol.29)
pp: 88-92
Daqing Zhang , Institut TELECOM SudParis
Zhu Wang , Northwestern Polytechnical University
Bin Guo , Northwestern Polytechnical University
Zhiwen Yu , Northwestern Polytechnical University
ABSTRACT
With the pervasiveness of sensors, Internet-enabled devices, mobile phones, Internet applications and services, and wireless communication, a new field of social and community intelligence (SCI) has emerged quite quickly. SCI 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. Author Daqing Zhang and colleagues provide an introduction to this field and highlight the various technologies.
INDEX TERMS
data sensing, software technology, social and community intelligence
CITATION
Daqing Zhang, Zhu Wang, Bin Guo, Zhiwen Yu, "Social and Community Intelligence: Technologies and Trends", IEEE Software, vol.29, no. 4, pp. 88-92, July-Aug. 2012, doi:10.1109/MS.2012.96
REFERENCES
1. D. Zhang, B. Guo, and Z. Yu, "Social and Community Intelligence," Computer, vol. 44, no. 7, 2011, pp. 21–28.
2. P. Costa et al., "TeenyLIME: Transiently Shared Tuple Space Middleware for Wireless Sensor Networks," Proc. Int'l Workshop Middleware for Sensor Networks (MidSens 06), ACM, 2006, pp. 43–46.
3. T. Hasu, "ContextLogger2: A Tool for Smartphone Data Gathering," tech. report, Helsinki Inst. Information Technology, 2010.
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