Robustness of Coherence in Noisy Scale-Free Networks and Applications to Identification of Influential Spreaders
| العنوان: | Robustness of Coherence in Noisy Scale-Free Networks and Applications to Identification of Influential Spreaders |
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| المؤلفون: | Mingtong Sun, Weigang Sun, Junbiao Guan, Qiang Jia |
| المصدر: | IEEE Transactions on Circuits and Systems II: Express Briefs. 67:1274-1278 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Computer science, Scale-free network, Closeness, Network size, Computer Science::Social and Information Networks, Network topology, computer.software_genre, 01 natural sciences, 010305 fluids & plasmas, Computer Science::Multiagent Systems, Vehicle dynamics, Robustness (computer science), 0103 physical sciences, Data mining, Electrical and Electronic Engineering, 010306 general physics, Epidemic model, Centrality, computer |
| الوصف: | This brief investigates robustness of the consensus characterized as coherence in the noisy scale-free networks under average degree, random nodal failures, and target attacks. A new centrality index named as leader centrality is proposed to identify more influential spreaders based on the coherence. It is shown that the leaderless and leader–follower consensus is better at the same network size with higher average degree. The obtained results reveal that the consensus becomes worse under the target attacks where the nodes are removed by the descending order of degree, closeness and eigenvector centrality. It is numerically demonstrated that the leader centrality is more effective to identify important spreaders by simulating the spreading process of an SIR epidemic model. |
| تدمد: | 1558-3791 1549-7747 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::d9e6adb027901194891002027404c904 https://doi.org/10.1109/tcsii.2019.2929139 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........d9e6adb027901194891002027404c904 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15583791 15497747 |
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