Tun Li
Biographic Data
| ID | 8803751 |
|---|---|
| NAME | Tun Li |
| GIVEN NAMES | Tun |
| FAMILY NAME | Li |
| SIGNATURE | LI T |
| AFFILIATIONS | Chongqing University of Posts and Telecommunications |
| ORCID | 0000-0002-7190-0167 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| 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…
Hot Topic Propagation Model Based on Short-Term Emotional and Behavioral Differences
The spread of hot topics in social networks exhibits strong contagiousness, reflecting the interplay between emotional resonance and social influence. Understanding this mechanism is crucial for explaining collective online behavior and improving information diffusion management. This study proposes a hot topic propagation model based on short-term emotions and behavioral differences. Traditional sentiment analysis methods rely excessively on sin…
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…
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…
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…
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…
No prominent works on this page.
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 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…
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…
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…
Hot Topic Propagation Model Based on Short-Term Emotional and Behavioral Differences
The spread of hot topics in social networks exhibits strong contagiousness, reflecting the interplay between emotional resonance and social influence. Understanding this mechanism is crucial for explaining collective online behavior and improving information diffusion management. This study proposes a hot topic propagation model based on short-term emotions and behavioral differences. Traditional sentiment analysis methods rely excessively on sin…
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…
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…
Complex Network Analysis Techniques (5 works) · Computer Science (5 works) · Opinion Dynamics and Social Influence (4 works) · Artificial Intelligence (3 works) · Advanced Text Analysis Techniques (2 works) · Computational and Text Analysis Methods (2 works) · Diffusion (2 works) · Physics (2 works) · Topic model (2 works) · Advanced Computing and Algorithms (1 works)