Detection of Effective Devices in Information Dissemination on the Complex Social Internet of Things Networks Based on Device Centrality Measures DOI Creative Commons
Wei Deng,

J. Deng,

Peyman Arebi

и другие.

Complexity, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

The Complex Social Internet of Things (CSIoT) integrates the connectivity IoT with relational dynamics complex social networks, creating systems where devices autonomously form and manage relationships. centrality measures specify topological characteristics each node in terms local global information network. detection effective disseminating across CSIoT networks is critical for optimizing communication, improving network performance, ensuring efficient resource utilization. In this paper, temporal are used to identify influential dissemination. For purpose, first, SIoT have been redefined, then, using SIR model, has evaluated success rate identifying results shown that a high clustering coefficient, closeness betweenness better performance spreading information. Also, degree heterogeneity, device coreness Katz perform than other measures. Finally, show mobile play more important role static devices.

Язык: Английский

Identifying influential nodes in complex networks by adjusted feature contributions and neighborhood impact DOI
Shima Esfandiari, Seyed Mostafa Fakhrahmad

The Journal of Supercomputing, Год журнала: 2025, Номер 81(3)

Опубликована: Фев. 14, 2025

Язык: Английский

Процитировано

2
Detection of Effective Devices in Information Dissemination on the Complex Social Internet of Things Networks Based on Device Centrality Measures DOI Creative Commons
Wei Deng,

J. Deng,

Peyman Arebi

и другие.

Complexity, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

The Complex Social Internet of Things (CSIoT) integrates the connectivity IoT with relational dynamics complex social networks, creating systems where devices autonomously form and manage relationships. centrality measures specify topological characteristics each node in terms local global information network. detection effective disseminating across CSIoT networks is critical for optimizing communication, improving network performance, ensuring efficient resource utilization. In this paper, temporal are used to identify influential dissemination. For purpose, first, SIoT have been redefined, then, using SIR model, has evaluated success rate identifying results shown that a high clustering coefficient, closeness betweenness better performance spreading information. Also, degree heterogeneity, device coreness Katz perform than other measures. Finally, show mobile play more important role static devices.

Язык: Английский

Процитировано

0