Academic network visual presentation method and system based on jump between star cloud images
A nebula map and network technology, applied in the field of data network, can solve problems such as inability to calculate similarity, achieve intuitive visualization of big data, and simple and efficient front-end visual presentation
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Embodiment 1
[0059] According to the present invention, an academic network visual presentation method based on inter-map jumping of nebula diagrams includes:
[0060] Step M1: Obtain the nodes and edges of a large number of academic networks from the database, the nodes are papers, and the edges are the citation relationships between papers;
[0061] Step M2: Set the color and size of the nodes and the color and size of the edges according to the nodes and edges of the academic network structure, and store the nodes, edges and corresponding attributes in the graph file;
[0062] Step M3: The graph file uses a multi-process parallel method to lay out the massive academic network, determine the position of the node in the two-dimensional space, and add the location information to the graph file;
[0063] Step M4: storing the content in the graph file in the database;
[0064] Step M5: Generate a nebula map in real time based on the data in the database, and complete the front-end visual pr...
Embodiment 2
[0106] Embodiment 2 is a modification of embodiment 1
[0107] Taking the academic network led by 47,310 high-impact papers with more than 1,000 citations in the entire academic field as an example, this embodiment provides a method and system for visually presenting a massive academic network based on jumping between Nebula graphs and graphs. Obtain paper IDs and titles from the database, as well as citation relationships, set node and edge attributes based on the network structure, use automatic layout tools to quickly layout nebula graphs, efficiently store massive nebula graph data, and jump between graphs Visual presentation of massive nebula maps; specifically, such as figure 1 shown, including the following steps:
[0108] Step S1: Obtain the nodes and edges of a large number of academic networks from the database, that is, related papers and their citation relationships;
[0109] Step S2: Set the color and size of the nodes and the color and size of the edges accordi...
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