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

Copyright: © 2024 Lei et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited..

Nodes in the structural hole position play a key role in the multi-project network of the open source community (OSC). This paper studies the robustness of this network based on structural hole theory. First, a semantic-based multi-project KCN is constructed, and four node types are identified: knowledge contribution nodes, knowledge dissemination nodes, structural hole nodes (SHNs) and opinion leader nodes. Second, a robustness analysis model of the edge failures of these four key nodes is constructed. Third, a simulation test is conducted on the proposed model using empirical data from the Local Motors multi-project OSC. The results show that the KCN has the lowest robustness when facing the edge failure of opinion leader nodes, followed by knowledge dissemination nodes, knowledge contribution nodes, SHNs and random nodes. The edge failure of opinion leader nodes causes the lowest network robustness because of the propagation effect of these nodes. Additionally, SHN failure has only a small initial impact on connectivity, whereas knowledge collaboration efficiency decreases rapidly (i.e., the edge failure of SHNs causes the network to enter a state of high connectivity and low efficiency). The proposed model can be used to provide comprehensive and targeted management guidance for OSC development.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:19

Enthalten in:

PloS one - 19(2024), 1 vom: 28., Seite e0292444

Sprache:

Englisch

Beteiligte Personen:

Lei, Shaojuan [VerfasserIn]
Wang, Chenzhi [VerfasserIn]
Zhang, Taoge [VerfasserIn]
Liu, Xinhua [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Completed 04.01.2024

Date Revised 11.01.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1371/journal.pone.0292444

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366565982