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Robustness of open source community multi-project knowledge collaboration network based on structural hole theory.

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Structural hole nodes (SHNs) are vital in open source communities (OSCs). Network robustness analysis reveals opinion leader node failure most impacts OSCs, while SHN failure leads to high connectivity but low efficiency.

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Area of Science:

  • Network Science
  • Open Source Community Management
  • Knowledge Management

Background:

  • The structural hole theory is crucial for understanding multi-project networks in open source communities (OSCs).
  • Nodes in structural hole positions significantly influence network dynamics and knowledge flow.
  • Identifying key node types is essential for assessing network robustness.

Purpose of the Study:

  • To analyze the robustness of multi-project OSC networks based on structural hole theory.
  • To investigate the impact of different key node failures on network structure and efficiency.
  • To develop a model for guiding OSC management and development.

Main Methods:

  • Construction of a semantic-based multi-project knowledge collaboration network (KCN).
  • Identification of four key node types: knowledge contribution, knowledge dissemination, structural hole nodes (SHNs), and opinion leader nodes.
  • Development of a robustness analysis model for edge failures of these key nodes, tested with empirical data from Local Motors OSC.

Main Results:

  • The KCN exhibits lowest robustness upon opinion leader node failure, followed by knowledge dissemination and knowledge contribution nodes.
  • SHN failure has minimal initial impact on connectivity but rapidly decreases knowledge collaboration efficiency, creating a high connectivity/low efficiency state.
  • Opinion leader node failure causes the most significant network robustness decline due to their propagation effects.

Conclusions:

  • Opinion leader nodes are critical for maintaining network robustness in OSCs.
  • Structural hole nodes (SHNs) are essential for efficient knowledge collaboration, despite their initial low impact on connectivity.
  • The developed model provides valuable insights for targeted management strategies in multi-project OSCs.