Chenbo Fu
Biographic Data
| ID | 8800882 |
|---|---|
| NAME | Chenbo Fu |
| GIVEN NAMES | Chenbo |
| FAMILY NAME | Fu |
| SIGNATURE | FU C |
| AFFILIATIONS | Zhejiang University of Technology |
| ORCID | 0000-0002-9430-5096 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Mutual Influence in Citation and Cooperation Patterns
Measuring the influence of scientists and their activities on science and society is important and indeed essential for many studies. Despite the substantial efforts devoted to exploring the influence’s measures and patterns of an individual scientific enterprise, it remains unclear how to quantify the mutual impact of multiple scientific activities. This work quantifies the relationship between the scientists’ interactive activities and their in…
GA-Based Multipopulation Synergistic Gene Screening Strategy on Critical Nodes Detection
Critical node detection (CND) is commonly used to detect nodes with a high impact on network robustness. It has been widely used in disease propagation, social networks, communications, and other fields. As a nondeterministic polynomial-time (NP)-complete problem, the efficiency of solving CND severely limits the scale of the available network. Fortunately, the evolutionary algorithm (EA) is an effective method to solve this problem. However, alt…
An Improved Differential Evolution Framework Using Network Topology Information for Critical Nodes Detection
Critical nodes detection (CND) focuses on identifying the nodes that significantly impact the network’s robustness and is applied in various fields such as power grids, communication networks, and disease spreading. However, detecting the critical nodes is a challenging nondeterministic polynomial time complete (NP-complete) problem. One possible solution is using the evolutionary algorithm which has a high global search capability. However, the …
A Novel Spatiotemporal Behavior-Enabled Random Walk Strategy on Online Social Platforms
Location-Based Social Networks have been widely studied in recent years; new approaches constantly developed to solve individuals’ trajectory prediction tasks. However, most of these methods require sufficient data to learn individual features, which is not always satisfied in real situations, especially for online data. The digital data on human behavior typically follows a power-law distribution, indicating that only a few people have rich acti…
No prominent works on this page.
A Novel Spatiotemporal Behavior-Enabled Random Walk Strategy on Online Social Platforms
Location-Based Social Networks have been widely studied in recent years; new approaches constantly developed to solve individuals’ trajectory prediction tasks. However, most of these methods require sufficient data to learn individual features, which is not always satisfied in real situations, especially for online data. The digital data on human behavior typically follows a power-law distribution, indicating that only a few people have rich acti…
An Improved Differential Evolution Framework Using Network Topology Information for Critical Nodes Detection
Critical nodes detection (CND) focuses on identifying the nodes that significantly impact the network’s robustness and is applied in various fields such as power grids, communication networks, and disease spreading. However, detecting the critical nodes is a challenging nondeterministic polynomial time complete (NP-complete) problem. One possible solution is using the evolutionary algorithm which has a high global search capability. However, the …
Mutual Influence in Citation and Cooperation Patterns
Measuring the influence of scientists and their activities on science and society is important and indeed essential for many studies. Despite the substantial efforts devoted to exploring the influence’s measures and patterns of an individual scientific enterprise, it remains unclear how to quantify the mutual impact of multiple scientific activities. This work quantifies the relationship between the scientists’ interactive activities and their in…
GA-Based Multipopulation Synergistic Gene Screening Strategy on Critical Nodes Detection
Critical node detection (CND) is commonly used to detect nodes with a high impact on network robustness. It has been widely used in disease propagation, social networks, communications, and other fields. As a nondeterministic polynomial-time (NP)-complete problem, the efficiency of solving CND severely limits the scale of the available network. Fortunately, the evolutionary algorithm (EA) is an effective method to solve this problem. However, alt…
Computer Science (4 works) · Complex Network Analysis Techniques (3 works) · Mathematics (3 works) · Algorithm (2 works) · Bioinformatics and Genomic Networks (2 works) · Nondeterministic algorithm (2 works) · Theoretical Computer Science (2 works) · Artificial Intelligence (1 work) · Biology (1 work) · Caching and Content Delivery (1 work)