Yunpeng Xiao
Biographic Data
| ID | 8803752 |
|---|---|
| NAME | Yunpeng Xiao |
| GIVEN NAMES | Yunpeng |
| FAMILY NAME | Xiao |
| SIGNATURE | XIAO Y |
| AFFILIATIONS | Chongqing University of Posts and Telecommunications |
| ORCID | 0000-0002-2846-3571 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Guided Topic Detection Model Based on Topic Evolution and Group Stance
Guided topic detection plays a crucial role in public opinion management and crisis response. To address the adversarial nature of group stances and the dynamic evolution of topics, this study proposes a guided topic detection model based on topic evolution and group stances. First, considering the hidden nature of groups in guided topics, the TA-Louvain hidden community mining method is proposed to quickly and accurately discover the community s…
DR-DGRNet
A Guided Topic Dissemination Model Based on Cognitive Differences
An Information Diffusion Prediction Model Aligning Multiple Propagation Intentions With Dynamic User Cognition
As a fundamental task in understanding the information diffusion process, information diffusion prediction has garnered significant attention in recent years. However, most existing studies tend to focus on the structural characteristics of information diffusion while neglecting an important phenomenon: the propagation of topics often carries multiple intentions, which align with specific user cognition at different evolutionary stages. This dive…
Group Behavior Prediction Model of Hot Topics Based on Multitype Complex Messages
In the topic dissemination space, various types of messages interact and collectively influence the propagation trends of derivative topics. To address this, a prediction model for group behavior in hotspot topics is proposed based on multitype complex messages. First, considering the complexity and high-dimensional nature of data in the topic feature space, sparse representation is employed to extract key user attributes in the derivative topic …
Disentangling Temporal Evolution in Frequency Domain for Sequential Recommendation
Dynamic Model of Intentional Topic Propagation Control Based on Micro-Emotion Guidance
A Social Commerce Marketing Topic Propagation Model Based on Factor Analysis and Stackelberg Game
This article investigates an emerging social commerce model that integrates social networks and e-commerce, highlighting the pivotal role of topic marketing in influencing consumers’ purchasing decisions. Within the framework of user-generated content (UGC), and accounting for the complex interplay among factors influencing topic propagation as well as the cooperative and competitive dynamics between topics, this study proposes a marketing topic …
A Competitive Guidance Topic Propagation Model Based on Evolutionary Game Theory
In contemporary society, online public opinion exerts significant influence, and guiding its trajectory is essential for maintaining social stability. To capture the interaction and evolution of competing guiding information during topic dissemination, a competitive guidance topic propagation model based on evolutionary game theory is developed. First, to address the interactive influence of multiple topic features, a multifactor analysis framewo…
A Guided Derivative Topic Dissemination Model Based on Topic Identity and Transfer Learning
In topic dissemination, accurately predicting the behavior of derived topic dissemination models enables the implementation of timely measures to effectively mitigate negative impacts. Addressing the issues of data scarcity and the influence of leaders on users, this article proposes a guided derived topic propagation model based on topic identity and transfer learning. To tackle the sparsity of early data on derived topics, we introduce generati…
Derivative Topic Dissemination Model Based on Multitopic Iterative Derivation and Social Psychology
As topics evolve during the dissemination process, their derivative characteristics play an important role in revealing the mechanism of topic dissemination in social networks. Due to users’ cognitive inertia, followers of antecedent topics tend to pay more attention to derivative topics than ordinary users, and this cognitive inertia is directly related to the correlation between these two topics. Based on this finding, we propose a derivation t…
An Information Dissemination Model Based on the Rumor and Antirumor and Cognitive Game
The rapid spread of online rumors has significant negative impacts on the online ecosystem and social order, which is closely tied to users’ cognitive traits. To explore the mechanisms of rumor propagation driven by cognition and mitigate its harm, we propose an information diffusion model based on the rumor, antirumor, and cognitive game. First, to address the uncertainty and difficulty in quantifying cognitive biases, and considering the advant…
Topic to Image
This article is inspired by image forgery recognition techniques. If we regard topic comments as image pixels, the whole topic is a complete image. The image differences between rumor topics and nonrumor topics are reflected in image pixels just like forged images, and then, the problem of detecting rumor topics can be regarded as the problem of recognition images of rumor topics. First, the Topic2Image algorithm is proposed to use the semantic i…
A Malicious Information Traceability Model Based on Neighborhood Similarity and Multiple Types of Interaction
The open and free nature of online platforms presents challenges for tracing malicious information. To address this, we propose a traceability model based on neighborhood similarity and multitype interaction. First, we propose neighborhood similarity algorithms (D-NTC) to address the universality of malicious information dissemination. This algorithm evaluates the impact of user node importance on malicious information propagation by combining no…
Information Propagation Dynamic Model Based on Rumors, Antirumors, Prom-Rumors, and the Dynamic Game
The propagation of Internet rumors has complex dynamics. The traditional propagation model, based mainly on rumor and antirumor messages, provides a static analysis of the rumor propagation situation. This article introduces the concept of a prom-rumor (promoting rumor) message and thoroughly investigates competition and cooperation among multitype rumor messages. First, we employ a multiple linear regression method to construct the information i…
A Diffusion Model for Multimessage Multidimensional Complex Game Based on Rumor and Anti-Rumor
In online social networks, rumors have become a flashpoint for public opinion. This article proposes a rumor and anti-rumor diffusion model based on multi-information multidimensional compound game considering the complex game antagonism in the process of spreading multiple messages. First, in view of the diversity and complexity of the characteristic space of communication individual, communication structure, and multitype rumor and anti-rumor n…
A Social Topic Diffusion Model Based on Rumor, Anti-Rumor, and Motivation-Rumor
The spread of online rumor poses challenges to social peace and public order. Traditional research on rumor diffusion commences from the rumor itself, without considering the symbiosis and confrontation of anti-rumor and motivation-rumor. This study proposed a diffusion method for online rumor based on three messages: rumor, anti-rumor, and motivation-rumor. First, considering the ability of representation learning to learn unsupervised features,…
A Dynamic Information Dissemination Model Based on User Awareness and Evolutionary Games
In online social networks, users’ awareness of a topic and their personal consciousness can significantly influence the dissemination of information on that topic. Traditional information dissemination research has mainly introduced user awareness as a single factor and has failed to fully consider the impact between users with different awareness. By considering the differences in user awareness and their impact, we proposed a multiple layer spa…
A Dynamic Information Dissemination Model Based on Implicit Link and Social Influence
In the field of social information dissemination, current studies are mainly based on the network topology with an explicit user link. Implicit link in this study indicates users who often participate in the same topic due to certain interests or game relationships, but no explicit “following-followed” link exists among these users. In this article, the implicit link is regarded as one of the driving factors of users to participate in information…
User Behavior Prediction of Social Hotspots Based on Multimessage Interaction and Neural Network
In network public-opinion analysis, the diversity of messages under social hot topics plays an important role in user participation behavior. Considering the interactions among multiple messages and the complex user behaviors, this article proposes a prediction model of user participation behavior during multiple messaging of hot social topics. First, considering the influence of multimessage interaction on user participation behavior, a multimes…
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User Behavior Prediction of Social Hotspots Based on Multimessage Interaction and Neural Network
In network public-opinion analysis, the diversity of messages under social hot topics plays an important role in user participation behavior. Considering the interactions among multiple messages and the complex user behaviors, this article proposes a prediction model of user participation behavior during multiple messaging of hot social topics. First, considering the influence of multimessage interaction on user participation behavior, a multimes…
A Dynamic Information Dissemination Model Based on Implicit Link and Social Influence
In the field of social information dissemination, current studies are mainly based on the network topology with an explicit user link. Implicit link in this study indicates users who often participate in the same topic due to certain interests or game relationships, but no explicit “following-followed” link exists among these users. In this article, the implicit link is regarded as one of the driving factors of users to participate in information…
A Dynamic Information Dissemination Model Based on User Awareness and Evolutionary Games
In online social networks, users’ awareness of a topic and their personal consciousness can significantly influence the dissemination of information on that topic. Traditional information dissemination research has mainly introduced user awareness as a single factor and has failed to fully consider the impact between users with different awareness. By considering the differences in user awareness and their impact, we proposed a multiple layer spa…
A Diffusion Model for Multimessage Multidimensional Complex Game Based on Rumor and Anti-Rumor
In online social networks, rumors have become a flashpoint for public opinion. This article proposes a rumor and anti-rumor diffusion model based on multi-information multidimensional compound game considering the complex game antagonism in the process of spreading multiple messages. First, in view of the diversity and complexity of the characteristic space of communication individual, communication structure, and multitype rumor and anti-rumor n…
A Social Topic Diffusion Model Based on Rumor, Anti-Rumor, and Motivation-Rumor
The spread of online rumor poses challenges to social peace and public order. Traditional research on rumor diffusion commences from the rumor itself, without considering the symbiosis and confrontation of anti-rumor and motivation-rumor. This study proposed a diffusion method for online rumor based on three messages: rumor, anti-rumor, and motivation-rumor. First, considering the ability of representation learning to learn unsupervised features,…
Topic to Image
This article is inspired by image forgery recognition techniques. If we regard topic comments as image pixels, the whole topic is a complete image. The image differences between rumor topics and nonrumor topics are reflected in image pixels just like forged images, and then, the problem of detecting rumor topics can be regarded as the problem of recognition images of rumor topics. First, the Topic2Image algorithm is proposed to use the semantic i…
A Malicious Information Traceability Model Based on Neighborhood Similarity and Multiple Types of Interaction
The open and free nature of online platforms presents challenges for tracing malicious information. To address this, we propose a traceability model based on neighborhood similarity and multitype interaction. First, we propose neighborhood similarity algorithms (D-NTC) to address the universality of malicious information dissemination. This algorithm evaluates the impact of user node importance on malicious information propagation by combining no…
Information Propagation Dynamic Model Based on Rumors, Antirumors, Prom-Rumors, and the Dynamic Game
The propagation of Internet rumors has complex dynamics. The traditional propagation model, based mainly on rumor and antirumor messages, provides a static analysis of the rumor propagation situation. This article introduces the concept of a prom-rumor (promoting rumor) message and thoroughly investigates competition and cooperation among multitype rumor messages. First, we employ a multiple linear regression method to construct the information i…
A Guided Derivative Topic Dissemination Model Based on Topic Identity and Transfer Learning
In topic dissemination, accurately predicting the behavior of derived topic dissemination models enables the implementation of timely measures to effectively mitigate negative impacts. Addressing the issues of data scarcity and the influence of leaders on users, this article proposes a guided derived topic propagation model based on topic identity and transfer learning. To tackle the sparsity of early data on derived topics, we introduce generati…
Derivative Topic Dissemination Model Based on Multitopic Iterative Derivation and Social Psychology
As topics evolve during the dissemination process, their derivative characteristics play an important role in revealing the mechanism of topic dissemination in social networks. Due to users’ cognitive inertia, followers of antecedent topics tend to pay more attention to derivative topics than ordinary users, and this cognitive inertia is directly related to the correlation between these two topics. Based on this finding, we propose a derivation t…
An Information Dissemination Model Based on the Rumor and Antirumor and Cognitive Game
The rapid spread of online rumors has significant negative impacts on the online ecosystem and social order, which is closely tied to users’ cognitive traits. To explore the mechanisms of rumor propagation driven by cognition and mitigate its harm, we propose an information diffusion model based on the rumor, antirumor, and cognitive game. First, to address the uncertainty and difficulty in quantifying cognitive biases, and considering the advant…
A Guided Topic Detection Model Based on Topic Evolution and Group Stance
Guided topic detection plays a crucial role in public opinion management and crisis response. To address the adversarial nature of group stances and the dynamic evolution of topics, this study proposes a guided topic detection model based on topic evolution and group stances. First, considering the hidden nature of groups in guided topics, the TA-Louvain hidden community mining method is proposed to quickly and accurately discover the community s…
DR-DGRNet
A Guided Topic Dissemination Model Based on Cognitive Differences
An Information Diffusion Prediction Model Aligning Multiple Propagation Intentions With Dynamic User Cognition
As a fundamental task in understanding the information diffusion process, information diffusion prediction has garnered significant attention in recent years. However, most existing studies tend to focus on the structural characteristics of information diffusion while neglecting an important phenomenon: the propagation of topics often carries multiple intentions, which align with specific user cognition at different evolutionary stages. This dive…
Group Behavior Prediction Model of Hot Topics Based on Multitype Complex Messages
In the topic dissemination space, various types of messages interact and collectively influence the propagation trends of derivative topics. To address this, a prediction model for group behavior in hotspot topics is proposed based on multitype complex messages. First, considering the complexity and high-dimensional nature of data in the topic feature space, sparse representation is employed to extract key user attributes in the derivative topic …
Disentangling Temporal Evolution in Frequency Domain for Sequential Recommendation
Dynamic Model of Intentional Topic Propagation Control Based on Micro-Emotion Guidance
A Social Commerce Marketing Topic Propagation Model Based on Factor Analysis and Stackelberg Game
This article investigates an emerging social commerce model that integrates social networks and e-commerce, highlighting the pivotal role of topic marketing in influencing consumers’ purchasing decisions. Within the framework of user-generated content (UGC), and accounting for the complex interplay among factors influencing topic propagation as well as the cooperative and competitive dynamics between topics, this study proposes a marketing topic …
A Competitive Guidance Topic Propagation Model Based on Evolutionary Game Theory
In contemporary society, online public opinion exerts significant influence, and guiding its trajectory is essential for maintaining social stability. To capture the interaction and evolution of competing guiding information during topic dissemination, a competitive guidance topic propagation model based on evolutionary game theory is developed. First, to address the interactive influence of multiple topic features, a multifactor analysis framewo…
Computer Science (12 works) · Complex Network Analysis Techniques (9 works) · Opinion Dynamics and Social Influence (9 works) · Artificial Intelligence (7 works) · Rumor (4 works) · Computer security (3 works) · Game theory (3 works) · Graph (3 works) · Misinformation and Its Impacts (3 works) · Social media (3 works)