Community-based voting approach to enhance the spreading dynamics by identifying a group of influential spreaders in complex networks

Journal of Computational Science, Journal Year: 2025, Volume and Issue: unknown, P. 102540 - 102540

Published: Feb. 1, 2025

Language: Английский

---

Towards investigating influencers in complex social networks using electric potential concept from a centrality perspective

Information Fusion, Journal Year: 2024, Volume and Issue: 109, P. 102439 - 102439

Published: April 26, 2024

Language: Английский

---

IC-SNI: measuring nodes’ influential capability in complex networks through structural and neighboring information

Knowledge and Information Systems, Journal Year: 2024, Volume and Issue: 67(2), P. 1309 - 1350

Published: Oct. 21, 2024

Language: Английский

---

Diffusion Containment in Complex Networks Through Collective Influence of Connections

IEEE Transactions on Information Forensics and Security, Journal Year: 2023, Volume and Issue: 19, P. 1510 - 1524

Published: Nov. 30, 2023

We study the containment of diffusion in a network immunization perspective, whose solution also plays fundamental roles scenarios such as inference rumor sources and control malicious viral marketings. In general, aims to suppress giant connected component by removing fewer nodes possible, so that intervention transmission could be achieved only few resources. Here, rather than based on fact edges might cheaper more applicable some scenarios, we investigate which group removal boost performance an strategy effectively. consider both cases topology is known unknown, thus two approaches are accordingly developed Edge RelationShip (ERS) Explosive Percolation over Partial (EPP) information. evaluate ERS comparing it with strategies edge betweenness, product eigenvector centralities edges, epidemic link equations, etc. Results 30 real networks show effectively acquire far better solutions much less computing time. demonstrate EPP circumstances decentralized, centralized, delayed cases. find would degree degraded uncertainty inferences from individuals, inaccuracy predictions, delay reactions. But almost all cases, approach can compared currently random strategy, especially when tough restriction needed or combination acquaintance conducted.

Language: Английский

---

Influence maximization based on bottom-up community merging

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 193, P. 116078 - 116078

Published: Feb. 10, 2025

Language: Английский

---

Directional Node Strength Entropy centrality: Ranking influential nodes in complex networks

Journal of Computational Mathematics and Data Science, Journal Year: 2025, Volume and Issue: unknown, P. 100112 - 100112

Published: Feb. 1, 2025

Language: Английский

---

Rumor spreading model based on emotional characteristics and influence

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126952 - 126952

Published: Feb. 1, 2025

Language: Английский

---

Finding influential nodes via graph embedding and hybrid centrality in complex networks

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 194, P. 116151 - 116151

Published: Feb. 25, 2025

Language: Английский

---

Identifying influential nodes based on hybrid centrality of receivers in the second-order dissemination

Information Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 122208 - 122208

Published: April 1, 2025

Language: Английский

---

OVED-Rank: A ranking scheme to evaluate complex network spreaders’ influence through the concept of effective distance and orbital velocity

Information Processing & Management, Journal Year: 2025, Volume and Issue: 62(5), P. 104201 - 104201

Published: May 2, 2025

Language: Английский

---