Brokers or Bridges? Exploring Structural Holes in a Crowdsourcing System

Qingpeng Zhang, Daniel Dajun Zeng, Fei Yue Wang, Ronald Breiger, James A. Hendler

Research output: Contribution to specialist publicationArticle

11 Scopus citations

Abstract

A method to measure the contributions of crowdsourcing participants identifies how roles relate to an incident's investigation and discussion. Using data on the South China tiger incident, the authors evaluate the performance of brokers-those who connect separate groups within a platform and across platforms-and show how results compare with structural hole theory. The supplemental material at http://personal.cityu.edu.hk/~qingzhang4/hfs-computer2016/Supplement.pdf includes additional information about source data.

Original languageEnglish (US)
Pages56-64
Number of pages9
Volume49
No6
Specialist publicationComputer
DOIs
StatePublished - Jun 2016

Keywords

  • Brokers
  • Collaborative systems
  • Crowdsourcing
  • Crowdsourcing Systems
  • Internet/Web technologies
  • Social computing
  • Social networking
  • Social-network analysis
  • Structural hole theory

ASJC Scopus subject areas

  • General Computer Science

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