Fuzhong Nian
Biographic Data
| ID | 8547634 |
|---|---|
| NAME | Fuzhong Nian |
| GIVEN NAMES | Fuzhong |
| FAMILY NAME | Nian |
| SIGNATURE | NIAN F |
| AFFILIATIONS | Lanzhou University of Technology |
| ORCID | 0000-0002-2179-0895 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
LCLRD
Link prediction is widely used in various fields to predict the missing or potential future links between node pairs in the network. Knowledge distillation (KD) methods have been introduced for the link prediction task, demonstrating exceptional performance in inference acceleration. However, these methods primarily focus on supervised learning settings that rely on high-quality labels, and they fail to capture the rich structural features inhere…
Insight Into Online Social Network Driven by Explosive Effect
The diversity structure of the information diffusion and network topology on online social networks were investigated in this article. To accurately capture these phenomena, we combined scale-free and small-world networks to construct a new hybrid network, and the characteristics and evolution law of the network topology and information propagation were probed. The proposed network model is as close as possible to a real network. Further, we cons…
Physics-Informed GNN Epidemic Forecasting via Double-Layer Dynamic Model
Online social networks serve as an essential platform for human behavior, making the exploration of their impact on epidemic spread a significant issue. This study utilizes the research methodology of propagation dynamics to quantify the interaction between information dissemination in social networks and virus diffusion in physical networks. The double-layer dynamic model was constructed, introducing the concept of dynamic transmission probabili…
The Influence of Opinion Leaders on Public Opinion Spread and Control Strategies in Online Social Networks
This article explores the role and influence of opinion leaders in the spread of public opinion within social networks and proposes an effective strategy for controlling public opinion accordingly. First, by constructing a cluster social network model based on followee and follower relationships, the structure of real social networks is accurately reflected. Further, a key opinion leader (KOL) indicator system model is proposed to quantify the ke…
Online Spreading of Topic Tags and Social Behavior
This article explores information spreading in modern online social networks. According to the law of information spread in real social networks, information retweeting is divided into two types: topic retweeting and relationship retweeting. Social behavior is considered as a higher order interaction, and the nodal influence effect in the traditional approach is abstracted as part of it for analysis. The process of topic communities being subject…
A study on the propagation of online public opinion by internet water army
Information Dissemination Evolution Driven by Hierarchical Relationship
There are hierarchical characteristics in real society, and people are often divided according to social attributes, such as salary and power. In order to better explore the laws of information dissemination in the network of hierarchical characteristics, this article first abstractly defines three ways of dissemination of information in the network of hierarchical structure. Then, the information dissemination model of the hierarchical network i…
Emotion spreading carried by emoji in social network
Phase Transition in Group Emotion
This article explores the formation and change of group emotion. The phase of group emotion is defined, and the phase transition of group emotion is studied from the following two aspects: the group with and without network structure (the group with coevolution between emotion and network structure). For the group without network structure, the threshold of group emotional phase transition is obtained, and the phenomenon of group emotional polari…
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Phase Transition in Group Emotion
This article explores the formation and change of group emotion. The phase of group emotion is defined, and the phase transition of group emotion is studied from the following two aspects: the group with and without network structure (the group with coevolution between emotion and network structure). For the group without network structure, the threshold of group emotional phase transition is obtained, and the phenomenon of group emotional polari…
Information Dissemination Evolution Driven by Hierarchical Relationship
There are hierarchical characteristics in real society, and people are often divided according to social attributes, such as salary and power. In order to better explore the laws of information dissemination in the network of hierarchical characteristics, this article first abstractly defines three ways of dissemination of information in the network of hierarchical structure. Then, the information dissemination model of the hierarchical network i…
Emotion spreading carried by emoji in social network
Online Spreading of Topic Tags and Social Behavior
This article explores information spreading in modern online social networks. According to the law of information spread in real social networks, information retweeting is divided into two types: topic retweeting and relationship retweeting. Social behavior is considered as a higher order interaction, and the nodal influence effect in the traditional approach is abstracted as part of it for analysis. The process of topic communities being subject…
A study on the propagation of online public opinion by internet water army
Insight Into Online Social Network Driven by Explosive Effect
The diversity structure of the information diffusion and network topology on online social networks were investigated in this article. To accurately capture these phenomena, we combined scale-free and small-world networks to construct a new hybrid network, and the characteristics and evolution law of the network topology and information propagation were probed. The proposed network model is as close as possible to a real network. Further, we cons…
Physics-Informed GNN Epidemic Forecasting via Double-Layer Dynamic Model
Online social networks serve as an essential platform for human behavior, making the exploration of their impact on epidemic spread a significant issue. This study utilizes the research methodology of propagation dynamics to quantify the interaction between information dissemination in social networks and virus diffusion in physical networks. The double-layer dynamic model was constructed, introducing the concept of dynamic transmission probabili…
The Influence of Opinion Leaders on Public Opinion Spread and Control Strategies in Online Social Networks
This article explores the role and influence of opinion leaders in the spread of public opinion within social networks and proposes an effective strategy for controlling public opinion accordingly. First, by constructing a cluster social network model based on followee and follower relationships, the structure of real social networks is accurately reflected. Further, a key opinion leader (KOL) indicator system model is proposed to quantify the ke…
LCLRD
Link prediction is widely used in various fields to predict the missing or potential future links between node pairs in the network. Knowledge distillation (KD) methods have been introduced for the link prediction task, demonstrating exceptional performance in inference acceleration. However, these methods primarily focus on supervised learning settings that rely on high-quality labels, and they fail to capture the rich structural features inhere…
Computer Science (9 works) · Artificial Intelligence (5 works) · Complex Network Analysis Techniques (5 works) · Opinion Dynamics and Social Influence (5 works) · World Wide Web (5 works) · Social media (4 works) · Law (3 works) · Political science (3 works) · Chemistry (2 works) · Data science (2 works)