https://doi.org/10.1140/epjp/s13360-024-05538-9
Regular Article
Detection of top-r spreader influential nodes on the Social Internet of Things networks to maximize spreading influence
1
Emergency Management Teaching and Research Department, Party School of Dalian Committee of C.P.C., 116013, Dalian, Liaoning, China
2
School of Economics and Management (School of Tourism), Dalian University, 116622, Dalian, Liaoning, China
3
Department of Computer Engineering, Technical and Vocational University (TVU), Tehran, Iran
b
mate987654321@163.com
d
parebi@tvu.ac.ir
Received:
23
June
2024
Accepted:
5
August
2024
Published online:
6
September
2024
The Social Internet of Things networks (SIoT networks) have emerged by combining the Internet of Things with social networks. One of the most important issues in this type of network is finding the most spreader influential nodes. In this paper, a new measure based on global and local information’s entropy is proposed to identify the top-r spreader influential nodes on the SIoT networks. The entropy measure is computed based on the entropy of different paths between users and objects for ranking nodes to maximum spreading influence in the network. The proposed entropy measure for experimental datasets has been evaluated in comparison with other common measures using the SIR diffusion model. The results demonstrate that the proposed entropy measure has performed better than conventional measures. The improvement in terms of propagation speed is 28 and 15%, in terms of the final affected scale 25 and 13% better than other conventional measures and the entropy-based measures on average respectively.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
