Lexical Sorting Centrality to Distinguish Spreading Abilities of Nodes in Complex Networks under the Susceptible-Infectious-Recovered (SIR) Model
Yazarlar (1)
Dr. Öğr. Üyesi Aybike ŞİMŞEK Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Journal of King Saud University Computer and Information Sciences (Q1) | ||
| Dergi ISSN | 1319-1578 Dergi Bilgileri (2021) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2021 |
| Cilt / Sayı / Sayfa | 34 / 8 / 4810–4820 | DOI | 10.1016/j.jksuci.2021.06.010 |
| Makale Linki | https://doi.org/10.1016/j.jksuci.2021.06.010 | ||
| UAK Araştırma Alanları |
Veri Madenciliği
Bilgi Sistemleri
Algoritmalar ve Hesaplama Kuramı
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| Özet |
| Epidemic modeling in complex networks is a hot research topic in recent years. The spreading of a virus (such as SARS-CoV-2) in a community, spreading computer viruses in communication networks, or spreading gossip on a social network is the subject of epidemic modeling. The Susceptible-Infectious-Recovered (SIR) is one of the most popular epidemic models. One crucial issue in epidemic modeling is the determination of the spreading ability of the nodes. Thus, for example, super spreaders can be detected in the early stages. However, the SIR is a stochastic model, and it needs heavy Monte-Carlo simulations. Hence, the researchers focused on combining several centrality measures to distinguish the spreading capabilities of nodes. In this study, we proposed a new method called Lexical Sorting Centrality (LSC), which combines multiple centrality measures. The LSC uses a sorting mechanism similar to … |
| Anahtar Kelimeler |
| Centrality measure | Complex networks | Epidemic modeling | Social networks | Super spreader | Susceptible-Infectious-Recovered model |
Science Direct
Lexical Sorting Centrality to Distinguish Spreading Abilities of Nodes in Complex Networks under the Susceptible-Infectious-Recovered (SIR) Model
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 22 |
| Scopus | 20 |
| Google Scholar | 33 |