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Resource sharing in technologically defined social networks.

Hirokazu Shirado1,2, George Iosifidis3,4, Leandros Tassiulas1,5

  • 1Yale Institute for Network Science, Yale University, New Haven, CT, 06520, USA.

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|March 8, 2019
PubMed
Summary
This summary is machine-generated.

Network structure significantly influences sharing behavior in the economy. Denser networks reduce inequality, and individuals benefit most from having many partners with few connections, a metric we call "sharing centrality".

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Area of Science:

  • Social Sciences
  • Network Science
  • Behavioral Economics

Background:

  • Sharing economy networks are transforming human collaboration and resource distribution.
  • Understanding the determinants of sharing strategies within these networks is crucial for optimizing resource allocation.

Purpose of the Study:

  • To investigate how network structure influences human sharing strategies.
  • To identify key factors determining resource distribution in technologically enabled sharing networks.

Main Methods:

  • A novel 'Wi-Fi sharing' game was developed to simulate resource allocation in networks.
  • 1,950 subjects participated, with initial experiments involving 600 subjects embedded in 30 networks with manipulated connection ranges.
  • Subsequent experiments with 1,200 subjects confirmed the robustness of findings.

Main Results:

  • Denser networks were found to decrease wealth inequality, though this effect showed saturation.
  • Individual benefit was strongly correlated with network position, particularly having numerous partners with limited connections.
  • A new metric, 'sharing centrality,' was proposed to quantify this beneficial network position.

Conclusions:

  • Network structure is a critical determinant of sharing behavior and resource distribution.
  • The findings suggest that targeted interventions, informed by network position and 'sharing centrality,' could promote more equitable resource distribution.
  • This research offers insights into optimizing resource allocation within complex, technologically enabled sharing networks.