Identify influential spreaders in complex networks, the role of neighborhood

Y Liu, M Tang, T Zhou, Y Do - Physica A: Statistical Mechanics and its …, 2016 - Elsevier
Identifying the most influential spreaders is an important issue in controlling the spreading
processes in complex networks. Centrality measures are used to rank node influence in a …

Identifying and ranking influential spreaders in complex networks by neighborhood coreness

J Bae, S Kim - Physica A: Statistical Mechanics and its Applications, 2014 - Elsevier
Identifying influential spreaders is an important issue in understanding the dynamics of
information diffusion in complex networks. The k-shell index, which is the topological …

Identifying and ranking influential spreaders in complex networks with consideration of spreading probability

Q Ma, J Ma - Physica A: Statistical Mechanics and its Applications, 2017 - Elsevier
Identifying the influential spreaders in complex network has great theoretical and practical
significance. In order to evaluate the spreading ability of the nodes, some centrality …

A novel weight neighborhood centrality algorithm for identifying influential spreaders in complex networks

J Wang, X Hou, K Li, Y Ding - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
Identifying the most influential spreaders in complex networks is crucial for optimally using
the network structure and designing efficient strategies to accelerate information …

Identifying all-around nodes for spreading dynamics in complex networks

B Hou, Y Yao, D Liao - Physica A: Statistical Mechanics and its Applications, 2012 - Elsevier
Identifying the most influential nodes in complex networks provides a strong basis for
understanding spreading dynamics and ensuring more efficient spread of information. Due …

A novel measure of identifying influential nodes in complex networks

Z Lv, N Zhao, F Xiong, N Chen - Physica A: Statistical Mechanics and Its …, 2019 - Elsevier
Research about ranking nodes according to their spreading ability in complex networks is a
fundamental and essential issue. As one of the vital centrality measures, the degree …

Accurate ranking of influential spreaders in networks based on dynamically asymmetric link weights

Y Liu, M Tang, Y Do, PM Hui - Physical Review E, 2017 - APS
We propose an efficient and accurate measure for ranking spreaders and identifying the
influential ones in spreading processes in networks. While the edges determine the …

Identifying and ranking influential spreaders in complex networks by combining a local-degree sum and the clustering coefficient

M Li, R Zhang, R Hu, F Yang, Y Yao… - International Journal of …, 2018 - World Scientific
Identifying influential spreaders is a crucial problem that can help authorities to control the
spreading process in complex networks. Based on the classical degree centrality (DC) …

Iterative resource allocation for ranking spreaders in complex networks

ZM Ren, A Zeng, DB Chen, H Liao, JG Liu - Europhysics Letters, 2014 - iopscience.iop.org
Ranking the spreading influence of nodes in networks is a very important issue with wide
applications in many different fields. Various topology-based centrality measures have been …

Identifying influential nodes in complex networks

D Chen, L Lü, MS Shang, YC Zhang, T Zhou - Physica a: Statistical …, 2012 - Elsevier
Identifying influential nodes that lead to faster and wider spreading in complex networks is of
theoretical and practical significance. The degree centrality method is very simple but of little …