Chenbo Fu
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View article: Heavy users fail to fall into filter bubbles: evidence from a Chinese online video platform
Heavy users fail to fall into filter bubbles: evidence from a Chinese online video platform Open
Accelerated by technological advancements, while online platforms equipped with recommendation algorithms offer convenience to obtain information, it also brought algorithm bias, shaping the norms and behaviors of their users. The filter b…
View article: A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures Open
Over the past few years, federated learning has become widely used in various classical machine learning fields because of its collaborative ability to train data from multiple sources without compromising privacy. However, in the area of …
View article: The Collaboration Patterns of Institution during the COVID-19 Pandemic
The Collaboration Patterns of Institution during the COVID-19 Pandemic Open
During the COVID-19 pandemic, scientific collaboration has profoundly influenced the sustainability of human science. The pandemic has exposed the fragility of the global health system, forcing various research institutions to cooperate mo…
View article: Social Media Opinion Analysis Model Based on Fusion of Text and Structural Features
Social Media Opinion Analysis Model Based on Fusion of Text and Structural Features Open
The opinion recognition for comments in Internet media is a new task in text analysis. It takes comment statements as the research object, by learning the opinion tendency in the original text with annotation, and then performing opinion t…
View article: The profit and risk in the interdisciplinary behavior
The profit and risk in the interdisciplinary behavior Open
Evaluating the influence of interdisciplinary research is important to the development of science. This work considers the large and small disciplines, calculates the interdisciplinary distance, and analyzes the influence of interdisciplin…
View article: Feature Drift in Fake News Detection: An Interpretable Analysis
Feature Drift in Fake News Detection: An Interpretable Analysis Open
In recent years, fake news detection and its characteristics have attracted a number of researchers. However, most detection algorithms are driven by data rather than theories, which causes the existing approaches to only perform well on s…
View article: Patterns of interest change in stack overflow
Patterns of interest change in stack overflow Open
Stack Overflow is currently the largest programming related question and answer community, containing multiple programming areas. The change of user’s interest is the micro-representation of the intersection of macro-knowledge and has been…
View article: Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection Open
The proliferation of fake news and its serious negative social influence push fake news detection methods to become necessary tools for web managers. Meanwhile, the multi-media nature of social media makes multi-modal fake news detection p…
View article: Resources Allocation Strategies of Disease Control in Multiplex Networks
Resources Allocation Strategies of Disease Control in Multiplex Networks Open
We study the relation between the ψ(4160) and the Y (4260) within an unitarized effective Lagrangian approach.The Y (4260) arises as a manifestation of the ψ(4160), when a loop-driven decay of the type of ψ( 4160) → D * s D * s → J/ψf 0 (9…
View article: A Self-Learning Information Diffusion Model for Smart Social Networks
A Self-Learning Information Diffusion Model for Smart Social Networks Open
In this big data era, more and more social activities are digitized thereby becoming traceable, and thus the studies of social networks attract increasing attention from academia. It is widely believed that social networks play important r…
View article: Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations
Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations Open
In social networks, by removing some target-sensitive links, privacy protection might be achieved. However, some hidden links can still be re-observed by link prediction methods on observable networks. In this paper, the conventional link …
View article: Evolving Convolutional Neural Network and Its Application in Fine-Grained Visual Categorization
Evolving Convolutional Neural Network and Its Application in Fine-Grained Visual Categorization Open
Fine-grained visual categorization is one of the challenges in computer vision due to the high intra-class but low inter-class variances. Convolutional neural networks (CNNs) are widely used to solve this problem. However, a huge number of…