A systematic survey on influential spreaders identification in complex networks with a focus on K-shell based techniques

G Maji, S Mandal, S Sen - Expert Systems with Applications, 2020 - Elsevier
Almost all the complex interactions between humans, animals, biological cells, neurons, or
any other objects are now modeled as a graph with the nodes as the objects of interest and …

New trends in influence maximization models

M Azaouzi, W Mnasri, LB Romdhane - Computer Science Review, 2021 - Elsevier
The growing popularity of social networks is providing a promising opportunity for different
practical applications. The influence analysis is an essential technique supporting the …

The random walk-based gravity model to identify influential nodes in complex networks

J Zhao, T Wen, H Jahanshahi, KH Cheong - Information Sciences, 2022 - Elsevier
The identification of influential nodes in complex networks has been a topic of immense
interest. In most cases, the local approach represented by degree centrality performs well …

Identifying vital nodes from local and global perspectives in complex networks

A Ullah, B Wang, JF Sheng, J Long, N Khan… - Expert Systems with …, 2021 - Elsevier
Recognition of vital nodes in complex networks retains great importance in the improvement
of network's robustness and vulnerability. Consistent research proposed various …

Identifying influential spreaders by gravity model

Z Li, T Ren, X Ma, S Liu, Y Zhang, T Zhou - Scientific reports, 2019 - nature.com
Identifying influential spreaders in complex networks is crucial in understanding, controlling
and accelerating spreading processes for diseases, information, innovations, behaviors, and …

A machine learning-based approach for vital node identification in complex networks

AA Rezaei, J Munoz, M Jalili, H Khayyam - Expert Systems with …, 2023 - Elsevier
Vital node identification is the problem of finding nodes of highest importance in complex
networks. This problem has crucial applications in various contexts such as viral marketing …

Identification of influential spreaders based on classified neighbors in real-world complex networks

C Li, L Wang, S Sun, C Xia - Applied Mathematics and Computation, 2018 - Elsevier
Identifying the influential spreaders in complex network is a very important topic, which is
conducive to deeply understanding the role of nodes in the information diffusion and …

Identification of nodes influence based on global structure model in complex networks

A Ullah, B Wang, JF Sheng, J Long, N Khan, ZJ Sun - Scientific Reports, 2021 - nature.com
Identification of Influential nodes in complex networks is challenging due to the largely
scaled data and network sizes, and frequently changing behaviors of the current topologies …

Identifying influential spreaders by gravity model considering multi-characteristics of nodes

Z Li, X Huang - Scientific Reports, 2022 - nature.com
How to identify influential spreaders in complex networks is a topic of general interest in the
field of network science. Therefore, it wins an increasing attention and many influential …

A novel method to identify influential nodes in complex networks based on gravity centrality

Q Zhang, B Shuai, M Lü - Information Sciences, 2022 - Elsevier
Identifying influential nodes in complex networks is a significant issue in analyzing the
spreading dynamics in networks. Many existing methods focus only on local or global …