Research On Visualization Algorithm Of Relational Information Space

The development of the Internet age has caused explosive growth of various information data,and the problem of information overload has gradually become prominent.Exploring the association relationship in the data and effectively displaying the information has become a research hotspot.How the information produced by the information producer is visually presented to the user is concerned by the user,and it is of great significance to study how the user can effectively browse the relational information space.The traditional disciplines involved in data visualization technology include scientific visualization and information visualization,which are mainly aimed at conveying and communicating information clearly and effectively by graphical means.But at present,the visualization of relational information space focuses more on unit visualization or network visualization.Network visualization mainly displays the relationship between individuals in the network clearly and comprehensively in front of users,while unit visualization is mainly for the presentation of each data unit and its attribute information,so this paper proposes a new visual layout method,which can not only display the relationship information between the individuals,but also reflect the attribute information of individuals,which is convenient for users to explore as much information as possible independently.The main work of the thesis includes:First,a circular layout algorithm is proposed.The attractiveness matrix is defined to calculate the distance between nodes,and distance is used instead of edges to represent the relationship between nodes,which effectively solves the problem of the neutrality of the traditional circular layout and the visual confusion caused by the intersection of relationship lines.Second,a circular layout algorithm for fusion of radial trees is proposed.The AntV G6 graph visualization framework is used to realize the radial tree layout of hierarchical data and incorporate it into the improved circular layout algorithm,which solves the shortcomings of the existing layout methods that only pay attention to one aspect.Third,a focus context interaction method is proposed,which separates focus and context through three visual channels of node size,color transparency,and space distortion,and explores the dynamic mode of layout in a variety of interaction methods,so that users can focus on different types of information.The new visualization method proposed in this paper can not only display the relationship information between individuals,but also reflect the attribute information of individuals,so that users can have an overall impression of the information space.Finally,based on the visualization method proposed in this paper,this paper designs and implements a visualization system of movie relational information space.The system uses knowledge graph technology to seek the implicit connection between movies,and then displays attribute information and relational information of movies,enabling users to explore independently to maximize the acquisition of interested information.