The random walk-based gravity model to identify influential nodes in complex networks
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 …
interest. In most cases, the local approach represented by degree centrality performs well …
Adaptive bipartite fixed-time time-varying output formation-containment tracking of heterogeneous linear multiagent systems
This study investigates the bipartite fixed-time time-varying output formation-containment
tracking issue for heterogeneous linear multiagent systems with multiple leaders. Both …
tracking issue for heterogeneous linear multiagent systems with multiple leaders. Both …
Influence maximization in social networks: A survey of behaviour-aware methods
A Zareie, R Sakellariou - Social Network Analysis and Mining, 2023 - Springer
Social networks have become an increasingly common abstraction to capture the
interactions of individual users in a number of everyday activities and applications. As a …
interactions of individual users in a number of everyday activities and applications. As a …
Distributed bipartite adaptive event-triggered fault-tolerant consensus tracking for linear multiagent systems under actuator faults
This article considers the distributed bipartite adaptive event-triggered fault-tolerant
consensus tracking issue for linear multiagent systems in the presence of actuator faults …
consensus tracking issue for linear multiagent systems in the presence of actuator faults …
Competitive targeted marketing in social networks with switching topology: Seed selection and consensus shaping
N Lang, Q Zha, L Wang - Information Fusion, 2023 - Elsevier
The boom of social network platforms has greatly enriched people's platform choices for
social interactions, which may cause people to switch frequently in different social networks …
social interactions, which may cause people to switch frequently in different social networks …
Reinforcement-learning-based competitive opinion maximization approach in signed social networks
Competitive opinion maximization (COM) in signed social networks targets at selecting a
subset of influential individuals (ie, seed nodes), spreading the desired opinions of the …
subset of influential individuals (ie, seed nodes), spreading the desired opinions of the …
Cross-network propagation model of public opinion information and its control in coupled double-layer online social networks
Y Li, J Wang - Aslib Journal of Information Management, 2022 - emerald.com
Purpose In modern society, considering the multi-channel of public opinion information
(public opinion) propagation and its strong influence on social development, it is necessary …
(public opinion) propagation and its strong influence on social development, it is necessary …
Pinning synchronization control for stochastic multi-layer networks with coupling disturbance
S Sun, T Ren, Y Xu - ISA transactions, 2022 - Elsevier
The pinning synchronization scheme is investigated for stochastic multi-layer networks
under the intra-layer coupling disturbance and stochastic noise. To save the control cost, a …
under the intra-layer coupling disturbance and stochastic noise. To save the control cost, a …
Reinforcement-learning-based dynamic opinion maximization framework in signed social networks
Dynamic opinion maximization (DOM) is a significant optimization issue, whose target is to
select some nodes in the network and prorogate the opinions of network nodes, and …
select some nodes in the network and prorogate the opinions of network nodes, and …
Targeted allocation of marketing resource in networks based on opinion dynamics
Recent advances in information technology and the boom in social media provide firms with
easy access to the data of consumers' preferences and their social interactions. To …
easy access to the data of consumers' preferences and their social interactions. To …