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The uncertainty problem in social computing and its solution method

  • Rui Jin*
  • , Hong Li Zhang
  • , Yu Zhang
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

With the worldwide application of social networks service, there are more and more uncertainty problems for social computing in the data analysis. Nowadays the social computing is still in the development stages, and its theoretical underpinnings are imperfect and lack clear criteria. Data regarding social behavior on social networks need be analyzed objectively, which calls for quantitative social computing methods. In this paper, the uncertainty social computing problems are analyzed, and the solution method for it is proposed. This type of calculation method can solve a series of uncertainty social computing problems. In social computing the uncertainty problems are even more important.

Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on Robots and Intelligent System, ICRIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages517-521
Number of pages5
ISBN (Electronic)9781538665800
DOIs
StatePublished - 11 Jul 2018
Externally publishedYes
Event2018 International Conference on Robots and Intelligent System, ICRIS 2018 - Changsha, China
Duration: 26 May 201827 May 2018

Publication series

NameProceedings - 2018 International Conference on Robots and Intelligent System, ICRIS 2018

Conference

Conference2018 International Conference on Robots and Intelligent System, ICRIS 2018
Country/TerritoryChina
CityChangsha
Period26/05/1827/05/18

Keywords

  • Information entropy
  • Social computing
  • The principle of maximum entropy introduction
  • Uncertainty social computing problem

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