From digital footprints to Social and Community Intelligence (SCI'11)

Bin Guo, Daqing Zhang, Zhiwen Yu, Francesco Calabrese

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Social and Community Intelligence (SCI) represents an emerging area that aims at revealing individual/group behaviors, social interactions as well as community dynamics by mining the digital traces left by people while interacting with cyber-physical spaces. The digital traces are generated mainly from three information sources: Internet and Web applications, static infrastructure, mobile devices and wearable sensors. In this workshop we hope to get people from different disciplines together to share their visions and insights on how to tackle the challenges faced by SCI, such as participatory sensing, heterogeneous data fusion, intelligence extraction, privacy issues, and so on.

Original languageEnglish
Title of host publicationUbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing
Pages625-626
Number of pages2
DOIs
StatePublished - 2011
Event13th International Conference on Ubiquitous Computing, UbiComp'11 and the Co-located Workshops - Beijing, China
Duration: 17 Sep 201121 Sep 2011

Publication series

NameUbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing

Conference

Conference13th International Conference on Ubiquitous Computing, UbiComp'11 and the Co-located Workshops
Country/TerritoryChina
CityBeijing
Period17/09/1121/09/11

Keywords

  • community dynamics
  • computational social science
  • digital footprints
  • mobile sensing
  • social interaction

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