A review of the research progress of social network structure
N Li, Q Huang, X Ge, M He, S Cui, P Huang, S Li… - …, 2021 - Wiley Online Library
Social network theory is an important paradigm of social structure research, which has been
widely used in various fields of research. This paper reviews the development process and …
widely used in various fields of research. This paper reviews the development process and …
A two-stage stochastic programming approach for influence maximization in social networks
HH Wu, S Küçükyavuz - Computational Optimization and Applications, 2018 - Springer
We consider stochastic influence maximization problems arising in social networks. In
contrast to existing studies that involve greedy approximation algorithms with a 63 …
contrast to existing studies that involve greedy approximation algorithms with a 63 …
New approaches to extract information from posts on COVID-19 published on Reddit
In the last two years, we have seen a huge number of debates and discussions on COVID-
19 in social media. Many authors have analyzed these debates on Facebook and Twitter …
19 in social media. Many authors have analyzed these debates on Facebook and Twitter …
Divergent and convergent imaging markers between bipolar and unipolar depression based on machine learning
Distinguishing bipolar depression (BD) from unipolar depression (UD) based on symptoms
only is challenging. Brain functional connectivity (FC), especially dynamic FC, has emerged …
only is challenging. Brain functional connectivity (FC), especially dynamic FC, has emerged …
Clustering coefficients as measures of the complex interactions in a directed weighted multilayer network
In this paper, we provide novel definitions of clustering coefficient for weighted and directed
multilayer networks. We extend in the multilayer theoretical context the clustering coefficients …
multilayer networks. We extend in the multilayer theoretical context the clustering coefficients …
Coordination‐behavior patterns of control crews in digital nuclear power plants during emergencies from a network perspective: An exploratory study
This study aims to investigate the coordination‐behavior patterns of control crews in digital
nuclear power plants (NPPs) during emergencies from a network perspective. We observed …
nuclear power plants (NPPs) during emergencies from a network perspective. We observed …
Characterizing collaborative networks for different arctic issues based on complex network analysis
M Xu, X Ma, W Qiao, Q Du - Ocean & Coastal Management, 2024 - Elsevier
International collaboration is widely accepted as an effective way to address Arctic-related
issues, and these collaborative events have been frequently reported in recent years. To …
issues, and these collaborative events have been frequently reported in recent years. To …
Learning driven three-phase search for the maximum independent union of cliques problem
Z Lu, J Gao, JK Hao, P Yang, L Zhou - Computers & Operations Research, 2024 - Elsevier
Given a simple and undirected graph, the maximum independent union of cliques (IUC)
problem aims to identify a subset of vertices with maximum cardinality, such that each …
problem aims to identify a subset of vertices with maximum cardinality, such that each …
Vulnerability of clustering under node failure in complex networks
Robustness in response to unexpected events is always desirable for real-world networks.
To improve the robustness of any networked system, it is important to analyze vulnerability to …
To improve the robustness of any networked system, it is important to analyze vulnerability to …
Structural embeddedness and innovation diffusion: the moderating role of industrial technology grouping
Y Lyu, Q Liu, B He, J Nie - Scientometrics, 2017 - Springer
Industrial technology grouping is a common phenomenon that occurs as an industry
develops and evolves. However, the research on innovation diffusion has given little …
develops and evolves. However, the research on innovation diffusion has given little …