Research on Knowledge Graph Visualization Based on Computer Networks and In depth Introduction to Computers Networks

With the development of educational informatization, learners are shifting from traditional linear reading to structured, visual, and interactive exploration. Taking Computer Network and a simple introduction to computer networks as research objects, this paper constructs a knowledge graph using Neo4j and designs a browser based visualization system with ECharts. The system adopts an embedded Neo4j solution, preloading .dump files and packaging with a built in JRE for one click cross platform deployment. It realizes functions such as graph loading, interactive display, dynamic refresh, and health check. The paper details the design of backend APIs, frontend rendering logic, and exception handling mechanisms. Multiple rounds of testing confirm that the system can stably load and interact with graphs, supporting scenarios with up to 1000 nodes and 1500 edges, This not only helps learners better organize fragmented knowledge and grasp the logical relationships between concepts but also effectively enhances the efficiency of knowledge review. Hang Dong | He Xu | Yi Cheng | Guanyu Liu | Qilun Lyu "Research on Knowledge Graph Visualization Based on Computer Networks and In-depth Introduction to Computers Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-5 , October 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97511.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/97511/research-on-knowledge-graph-visualization-based-on-computer-networks-and-indepth-introduction-to-computers-networks/hang-dong