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The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

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Published on: January 19, 2019

Understanding crowd-powered search groups: a social network perspective.

Qingpeng Zhang1, Fei-Yue Wang, Daniel Zeng

  • 1The State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China. qpzhang@email.arizona.edu

Plos One
|July 5, 2012
PubMed
Summary
This summary is machine-generated.

Human flesh search (HFS) networks exhibit power-law and small-world properties, similar to other online social networks. Key information contributors in HFS differ from carriers and transmitters, indicating a decentralized structure.

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Area of Science:

  • Social Computing
  • Sociology
  • Behavioral Sciences

Background:

  • Crowd-powered search utilizes voluntary web users for problem-solving.
  • Human flesh search (HFS), originating in China, is a growing form of crowd-powered search.
  • HFS serves as a model for studying social computing and behavioral theories.

Purpose of the Study:

  • To analyze the topological properties and evolution of aggregated Human flesh search networks.
  • To identify key participants within the HFS network based on various measures.
  • To compare HFS network characteristics with other online social networks.

Main Methods:

  • Constructing an aggregated network of HFS participants and their relationships.
  • Analyzing the network's topological properties and evolutionary trends.
  • Identifying key HFS participants using multiple metrics.

Main Results:

  • HFS networks display power-law degree distribution and small-world properties.
  • HFS exhibits a looser, more distributed structure, promoting participant diversity and decentralization.
  • Collaboration in HFS is higher for local or specialized searches, lower for general topics.

Conclusions:

  • HFS networks are increasingly decentralized.
  • Participant collaboration varies based on search platform and topic specificity.
  • Key roles in HFS (contributors, carriers, transmitters) are distributed among different participant groups.