A reinforcement learning-based multi-objective optimization in an interval and dynamic environment
Y Xu, Y Song, D Pi, Y Chen, S Qin, X Zhang… - Knowledge-Based …, 2023 - Elsevier
There are many fields involving multi-objective optimization problems in presence of
dynamic and interval environments (DI-MOPs), in which the number of objective functions is …
dynamic and interval environments (DI-MOPs), in which the number of objective functions is …
Community opinion maximization in social networks
Maximizing the influence of opinions is an emerging research topic in social networks.
Although the community is a key structure of social networks, little effort has been made to …
Although the community is a key structure of social networks, little effort has been made to …
Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field
Heterogeneous networks, like social and academic networks are widespread in the real
world, characterized by diverse nodes and complex relationships. Influence maximization is …
world, characterized by diverse nodes and complex relationships. Influence maximization is …
The role of link redundancy and structural heterogeneity in network disintegration
While link redundancy has long been acknowledged as a critical factor in network
robustness, current approaches frequently neglect the inherent heterogeneity of structure …
robustness, current approaches frequently neglect the inherent heterogeneity of structure …
IMNE: Maximizing influence through deep learning-based node embedding in social network
Q Hu, J Jiang, H Xu, M Kassim - Swarm and Evolutionary Computation, 2024 - Elsevier
Influence Maximization (IM) is a critical problem in social network analysis and marketing. It
involves identifying a subset of nodes in a social network whose activation or influence can …
involves identifying a subset of nodes in a social network whose activation or influence can …
Order-sensitive competitive revenue maximization for viral marketing in social networks
Abstract The Competitive Influence Maximization (CIM) problem is a critical issue in viral
marketing, focusing on selecting a set of influential individuals, known as seed users, for …
marketing, focusing on selecting a set of influential individuals, known as seed users, for …
A variable neighborhood search approach for the adaptive multi round influence maximization problem
Social Networks have been in continuous growing during the last decades. The huge
amount of information and applications has led to an increase in the interest of scientists and …
amount of information and applications has led to an increase in the interest of scientists and …
Assessing edge importance in social networks: an importance indicator based on the -sup structure
M Zhao, Y Zhai, D Li - The Journal of Supercomputing, 2024 - Springer
Within the realm of social networks, most research efforts have concentrated on identifying
crucial nodes in networks, with little attention paid to identifying critical edges. Nevertheless …
crucial nodes in networks, with little attention paid to identifying critical edges. Nevertheless …
Dynamics of cascading failure in cyber-physical power systems from cyber attack
Through communication network, cyber-physical power systems can effectively monitor and
control physical power grid, but this also increases the danger to systems from cyber attack …
control physical power grid, but this also increases the danger to systems from cyber attack …
Robustness of probability routing strategy in interconnection networks
J Ma, J Ma, J Wei - Engineering Research Express, 2024 - iopscience.iop.org
With the rapid development of complex networks, the research on robustness has gradually
attracted the attention of scholars. In this paper, the research mainly focuses on the analysis …
attracted the attention of scholars. In this paper, the research mainly focuses on the analysis …