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Research on the Influence of Information Iterative Propagation on Complex Network Structure.
Qian, Yinuo; Nian, Fuzhong; Wang, Zheming; Yao, Yabing.
Afiliación
  • Qian Y; School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China.
  • Nian F; School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China.
  • Wang Z; School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China.
  • Yao Y; School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China.
Big Data ; 2024 Jul 27.
Article en En | MEDLINE | ID: mdl-39066722
ABSTRACT
Dynamic propagation will affect the change of network structure. Different networks are affected by the iterative propagation of information to different degrees. The iterative propagation of information in the network changes the connection strength of the chain edge between nodes. Most studies on temporal networks build networks based on time characteristics, and the iterative propagation of information in the network can also reflect the time characteristics of network evolution. The change of network structure is a macromanifestation of time characteristics, whereas the dynamics in the network is a micromanifestation of time characteristics. How to concretely visualize the change of network structure influenced by the characteristics of propagation dynamics has become the focus of this article. The appearance of chain edge is the micro change of network structure, and the division of community is the macro change of network structure. Based on this, the node participation is proposed to quantify the influence of different users on the information propagation in the network, and it is simulated in different types of networks. By analyzing the iterative propagation of information, the weighted network of different networks based on the iterative propagation of information is constructed. Finally, the chain edge and community division in the network are analyzed to achieve the purpose of quantifying the influence of network propagation on complex network structure.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Big Data Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Big Data Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos