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Social network analysis model for research on organizational structure of the pyramid scheme communication network.
Feng, Pihu; Lu, Xin; Gong, Zaiwu; Li, Bo; Sun, Duoyong.
Afiliación
  • Feng P; Command & Control Engineering College, Army Engineering University of PLA, Nanjing, China.
  • Lu X; College of Systems Engineering, National University of Defense Technology, Changsha 410072, China.
  • Gong Z; School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Li B; College of Systems Engineering, National University of Defense Technology, Changsha 410072, China.
  • Sun D; College of Systems Engineering, National University of Defense Technology, Changsha 410072, China.
MethodsX ; 8: 101259, 2021.
Article en En | MEDLINE | ID: mdl-34434781
In this article, we introduce a structural analysis model to analyze the characteristics of the communication network structure of pyramid scheme organizations. This model is a combination of SNA (Social Network Analysis) model, motifs analysis model, and exponential random graph model. It can analyze the network from three aspects: global structure analysis, microstructure analysis, and construction feature analysis. We use this model to analyze the characteristics of multiple aspects of a typical pyramid scheme organization's communication network, and the analysis results effectively expand the understanding of the characteristics of the pyramid scheme organization.•SNA model can be used to analyze the global structure of the pyramid scheme communication network.•Motifs analysis model can be used to analyze the microstructure characteristics of the pyramid scheme organization communication network.•Exponential Random Graph Model can be used to analyze the construction characteristics of the pyramid scheme communication network.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: MethodsX Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: MethodsX Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos