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XU Xiao-ke, LIU Xiao-fan. New Driving Forces of Network Science: Big Data and Crowd Sourcing[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(6): 802-805. doi: 10.3969/j.issn.1001-0548.2013.06.001
Citation: XU Xiao-ke, LIU Xiao-fan. New Driving Forces of Network Science: Big Data and Crowd Sourcing[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(6): 802-805. doi: 10.3969/j.issn.1001-0548.2013.06.001
shu

New Driving Forces of Network Science: Big Data and Crowd Sourcing

doi: 10.3969/j.issn.1001-0548.2013.06.001
  • 1.

    College of Information and Communication Engineering,Dalian Nationalities University Dalian Liaoning 116600;

  • 2.

    School of Computer Science and Engineering,Southeast University Nanjing 211189

  • Received Date: 2013-10-15
  • Rev Recd Date: 2013-11-11
  • Publish Date: 2013-12-15
  • The era of big data has brought big opportunities to network science, yet the study of network science is also facing big challenges of processing huge amount of data. Meanwhile, a new project outsourcing model, the crowd-sourcing model, has been widely applied recently to solving data related problems. This paper presents a brief introduction to the new driving forces of network science: big data and crowd-sourcing model. We also review the 2013 Alibaba data platform innovation competition as well as our award-winning work. We expect that driven by the crowd-sourcing model, data science, which deals with big data processing techniques, shall evolve together with network science into a prosperous future.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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New Driving Forces of Network Science: Big Data and Crowd Sourcing

doi: 10.3969/j.issn.1001-0548.2013.06.001
  • 1. College of Information and Communication Engineering,Dalian Nationalities University Dalian Liaoning 116600;
  • 2. School of Computer Science and Engineering,Southeast University Nanjing 211189
  • Received Date: 2013-10-15
  • Rev Recd Date: 2013-11-11
  • Publish Date: 2013-12-15

Abstract: The era of big data has brought big opportunities to network science, yet the study of network science is also facing big challenges of processing huge amount of data. Meanwhile, a new project outsourcing model, the crowd-sourcing model, has been widely applied recently to solving data related problems. This paper presents a brief introduction to the new driving forces of network science: big data and crowd-sourcing model. We also review the 2013 Alibaba data platform innovation competition as well as our award-winning work. We expect that driven by the crowd-sourcing model, data science, which deals with big data processing techniques, shall evolve together with network science into a prosperous future.

XU Xiao-ke, LIU Xiao-fan. New Driving Forces of Network Science: Big Data and Crowd Sourcing[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(6): 802-805. doi: 10.3969/j.issn.1001-0548.2013.06.001
Citation: XU Xiao-ke, LIU Xiao-fan. New Driving Forces of Network Science: Big Data and Crowd Sourcing[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(6): 802-805. doi: 10.3969/j.issn.1001-0548.2013.06.001
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