Network Situation Features Extraction Method of Computer Network Based on Knowledge Graph
- Resource Type
- Conference
- Authors
- Deng, Li-Qiong; Wu, Yi-Fei; Wang, Jie-Yu; Wang, Bo
- Source
- 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA) Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA), 2022 3rd International Conference on. :484-488 May, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Knowledge engineering
Complex networks
Maintenance engineering
Feature extraction
Computer networks
network situation
knowledge graph
feature extraction
computer network
- Language
A feature extraction method of network situation based on knowledge graph is proposed for network situation assessment. The knowledge graph of network flow is constructed by knowledge graph technology. Combined with graph algorithm and complex network feature analysis method, different types of node features and overall network features in network situation are extracted, so as to obtain the importance ranking of nodes and the overall evaluation value of network situation. The experimental results show that the algorithm can accurately locate the key node information in the computer network and scientifically describe its network connection relationship, which provides an effective means for the network to achieve more efficient management and maintenance.