Metaphor Representation of Resource Nodes in Cyberspace Based on Local Moran Index and PageRank Algorithm
Visualization serves as an incredibly effective method for analyzing and understanding cyberspace resources.By leveraging elements such as points,lines,surfaces,symbols,and terrain,it offers valuable insights for the management,maintenance,and optimization of cyberspace by transforming abstract data into tangible and comprehensible forms.In this context,this paper recognizes the significance of spatial relationships and the importance of resource nodes in the network and adopts the concept of a metaphorical map as a means of visualization.It draws an analogy between the resource nodes in cyberspace and the metaphorical representation of peaks and contouring lines in traditional geographic space,facilitating visual expression and understanding.The methodology proposed in this paper involves constructing spatial weight matrices and transfer matrices based on the topological relationships among nodes in cyberspace.These matrices enable the computation of indices such as the Moreland index and PageRank value for each node,which are vital metrics for evaluating the local importance of nodes within the network.To comprehensively assess the spatial correlation and significance of nodes on both local and global scales,the local Moran index is standardized,and the PageRank values are transformed to a consistent range.These standardized indices are then combined to derive a comprehensive evaluation index called the PI value.Subsequently,the network space resource nodes are arranged around the most prominent node utilizing the FR algorithm.The PI value guides the assignment of height values and sizes to each node,facilitating their visual representation.Finally,the visualization is performed using a metaphorical map that allows for an intuitive depiction of the nodes'positions in the network space and their relationships with other nodes.Our experimental results demonstrate that this method effectively incorporates the Moreland index,commonly employed to measure spatial aggregation in geospatial data,into the network space analysis.As a result,the method effectively highlights nodes and their interconnected nodes with higher attribute values.Furthermore,the visual representation based on the metaphorical map provides a natural and intuitive understanding of the nodes'positions and their interconnections in network space.It offers a means of effectively communicating complex information about the network's structure and topology.Moreover,when rendering formatted data,the efficiency of the metaphorical map exceeds that of traditional topology maps,particularly as the scale of the network expands.The metaphorical map proves to be a powerful tool for visualizing and comprehending the intricate relationships within cyberspace resources.
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