Node Attitude Aware Information Dissemination Model Based on Evolutionary Game in Social Networks

Huang, Hongcheng; Wang, Tingting; Hu, Min; Dong, Mengyuan; Lai, Licheng

doi:10.1007/s11036-020-01685-2

Cited by 10 publications

(12 citation statements)

References 37 publications

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“…Accounting for the influence of user emotions, [8] proposed the E-SFI model. [9] proposed a novel model based on user sentiment. A et al proposed CECM [10].…”

Section: Related Workmentioning

confidence: 99%

“…[15] proposed an emotion-based independent cascade model that integrates user features, structural features, tweet features, and more. [16] established an information dissemination model based on node sentiment.…”

Section: Related Workmentioning

confidence: 99%

“…Existing social network information dissemination model research is mainly based on two classic models: the Independent Cascade (IC) Model [3] and the Linear Threshold (LT) Model [4]. For example, based on the IC model, researchers have carried out a large number of studies considering the influence of time [5][6][7], user emotions [8][9][10], topics [11][12][13][14], and individual preferences [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

“…1: Traditional Network Model. mation dissemination timing [12,13], and user emotions [14][15][16], into IC model.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

TSA based optimization to dc voltage and dc modulation for high-voltage ride-through (HVRT) of DFIG: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Zhao

2023

2023 IEEE 6th International Electrical and Energy Conference (CIEEC)

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Volumetric video, also known as hologram video, is a novel medium that portrays natural content in Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). It is expected to be the next-gen video technology and a prevalent use case for 5G and beyond wireless communication. Considering that each user typically only watches a section of the volumetric video, known as the viewport, it is essential to have precise viewport prediction for optimal performance. However, research on this topic is still in its infancy. In the end, this paper presents and proposes a novel approach, named Saliency and Trajectory Viewport Prediction (STVP), which aims to improve the precision of viewport prediction in volumetric video streaming. The STVP extensively utilizes video saliency information and viewport trajectory. To our knowledge, this is the first comprehensive study of viewport prediction in volumetric video streaming. In particular, we introduce a novel sampling method, Uniform Random Sampling (URS), to reduce computational complexity while still preserving video features in an efficient manner. Then we present a saliency detection technique that incorporates both spatial and temporal information for detecting static, dynamic geometric, and color salient regions. Finally, we intelligently fuse saliency and trajectory information to achieve more accurate viewport prediction. We conduct extensive simulations to evaluate the effectiveness of our proposed viewport prediction methods using state-of-the-art volumetric video sequences. The experimental results show the superiority of the proposed method over existing schemes. The dataset and source code will be publicly accessible after acceptance.

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“…Accounting for the influence of user emotions, [8] proposed the E-SFI model. [9] proposed a novel model based on user sentiment. A et al proposed CECM [10].…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…1: Traditional Network Model. mation dissemination timing [12,13], and user emotions [14][15][16], into IC model.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

TSA based optimization to dc voltage and dc modulation for high-voltage ride-through (HVRT) of DFIG: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Zhao

2023

2023 IEEE 6th International Electrical and Energy Conference (CIEEC)

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show abstract

“…ey analyzed the relationships among the game payoff, epidemic dynamics, and individual health statuses in social networks. To investigate the influences of node attitudes on information propagation, Huang et al [34] used the evolutionary game method to build an information propagation model. ey further analyzed relationships between positive and negative attitudes of nodes.…”

Section: Introductionmentioning

confidence: 99%

A Novel Tripartite Evolutionary Game Model for Misinformation Propagation in Social Networks

et al. 2022

Security and Communication Networks

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Misinformation has brought great challenges to the government and network media in social networks. To clarify the influences of behaviors of the network media, government, and netizen on misinformation propagation, a large number of influence parameters are proposed for the three participants. Then, a tripartite evolutionary game model for misinformation propagation is constructed. According to the proposed game model, the expected payoffs of three participants are analyzed when they adopt different strategies. The evolutionary stabilities of the game model are also analyzed theoretically. Finally, the impacts of different parameters on expected payoffs of three participants are analyzed experimentally. Meanwhile, coping strategies of three participants under different conditions are given. The experimental results show that the proposed tripartite evolutionary game model can properly describe the influence of network media, government, and netizen on misinformation propagation.

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Performance Analysis of a Self-Organized Network Dynamics Model for Public Opinion Information

Yang,

Guo,

Pang

et al. 2024

IEEE Access

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With the rise of social networks, various types of information have emerged in the vision field in a complex manner, making it crucial to analyze the propagation patters of online public opinion to effectively guide information dissemination. To elucidate the dynamics of information dissemination, this paper proposes a directed network information based on self-organized network information dissemination scenario. This model takes into account the influence of networks formed by users spontaneously and distinguishes the dissemination population based on the in-and out-degree of user nodes in the network. To assess the model's performance, it is evaluated using real retweets from Chinese Sina Weibo, considering the impact of user interactions on information dissemination. Comparing real data with model-fitted data, the proposed model-based evaluation and numerical analysis demonstrate that the forwarding and transfer probabilities align with actual information dissemination. Furthermore, the evaluation sensitivity analyses describe the key factors influencing information dissemination, aiding decision-making in formulating strategies to guide public opinion. To quantify the importance of these factors, assessment metrics are introduced, such as the propagation regeneration number.

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Node Attitude Aware Information Dissemination Model Based on Evolutionary Game in Social Networks

Cited by 10 publications

References 37 publications

TSA based optimization to dc voltage and dc modulation for high-voltage ride-through (HVRT) of DFIG: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

TSA based optimization to dc voltage and dc modulation for high-voltage ride-through (HVRT) of DFIG: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

A Novel Tripartite Evolutionary Game Model for Misinformation Propagation in Social Networks

Performance Analysis of a Self-Organized Network Dynamics Model for Public Opinion Information

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