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On computing some degree based topological indices for backbone DNA networks
Chemical graph theory is the field which deals with the combination of chemistry and graph theory. In this paper, we find the degree based first and...
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Opinion Dynamics in Two-Layer Networks with Hypocrisy
We propose a general concealed voter model (GCVM), in which individuals interact in two layers and can exchange their opinions in the internal layer....
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Understanding how retweets influence the behaviors of social networking service users via agent-based simulation
The retweet is a characteristic mechanism of several social network services/social media, such as Facebook, Twitter, and Weibo. By retweeting tweet,...
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DeepSets and Their Derivative Networks for Solving Symmetric PDEs
Machine learning methods for solving nonlinear partial differential equations (PDEs) are hot topical issues, and different algorithms proposed in the...
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Community Detection for Weighted Networks with Unknown Number of Communities
AbstractIn this paper, we propose a community detection approach for weighted networks by combining the infinite Gaussian mixture model and spectral...
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Influencing Opinion Networks: Optimization and Games
We consider a model of influence over a network with finite-horizon opinion dynamics. The network consists of agents that update their opinions via a...
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Stochastic control of ecological networks
The paper models the maintenance of ecological networks in forest environments, built from bioreserves, patches and corridors, when these grids are...
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Boosting node activity by recommendations in social networks
In a social network, the propagation of information has sparked intense research. Influence Maximization (IM) is a well-studied problem that asks for k ...
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Equalising the Transmission Properties of Graph-Modelled Networks by Introducing the Control of the Resources Used to Transmit Information
The object of the presented paper is to demonstrate the possibility of equalizing the transmission properties of networks described by graphs with an...
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Methods and High-performance Tools for Collecting, Analysis and Visualization of Data Exchange with a Focus on Research and Education Telecommunications Networks
AbstractThe paper is focuses on the methods that have come into practice, key functions and software instruments for collecting, analysis and...
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A Mathematical Framework for Dynamical Social Interactions with Dissimulation
Modeling social interactions is a challenging task that requires flexible frameworks. For instance, dissimulation and externalities are relevant...
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HM-EIICT: Fairness-aware link prediction in complex networks using community information
The evolution of online social networks is highly dependent on the recommended links. Most of the existing works focus on predicting intra-community...
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Influence maximization in social media networks concerning dynamic user behaviors via reinforcement learning
This study examines the influence maximization (IM) problem via information cascades within random graphs, the topology of which dynamically changes...
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Fixed-Time Synchronization of Complex Networks via Intermittent Control Without Sign Function
This paper investigates the fixed-time synchronization problem of complex networks. A novel switching controller is proposed to solve the problem....
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A graph theoretical approach to decisions in social choice, law, A.I.
Graph theory proved to be a quite powerful mathematical tool to model several problems in a discrete setting. In this paper the authors illustrate...
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Homogeneous Graph Neural Networks
Graph Neural Networks (GNNs) have been widely used in various graph-related tasks and exhibited competitive performance. Existing GNNs follow a... -
Hyperbolic Graph Neural Networks
Graph Neural Networks (GNNs) are powerful deep representation learning methods for graphs. Most GNNs learn the node representations in Euclidean... -
Social Interactions Matter: Is Grey Wolf Optimizer a Particle Swarm Optimization Variation?
Many swarm-based algorithms are proposed using different inspirations from nature with the fact that they perform better than older versions. At the... -
Competitive dual-strain SIS epidemiological models with awareness programs in heterogeneous networks: two modeling approaches
Epidemic diseases and media campaigns are closely associated with each other. Considering most epidemics have multiple pathogenic strains, in this...
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Impact of Utilities on the Structures of Stable Networks with Ordered Group Partitioning
This paper considers a society partitioned into ordered groups and examines the stable networks that players form. Four utility functions combining...