Multi-Dimensional Spatial Transformation Network Topology Layout

The network topology layout helps users intuitively understand and analyze the network structure. With the increase of network scale and network attributes, a multi-dimensional spatial transformation network topology layout method is proposed to guide users to conduct progressive exploration analysis and give consideration to the presentation of multivariate network structural features and attribute correlation analysis of local networks. Firstly, the method makes 3-dimensional layout based on the characteristics of the community and presents the overall structure characteristics of the network. Based on the 3-dimensional layout and network attributes, the network structure filtered by users is transformed into dimensional space, and the attributes and topological associations are presented in the 2.5-dimensional layout. Finally, 2-dimensional layout is carried out for the single-dimensional attribute local network filtered by users, and the topology of the local network is presented through a diversified layout. Based on this topology layout method, three data sets of social network, brain network and computer network are used for experimental analysis. The results demonstrate the effectiveness of proposed method in both structural feature presentation and attribute association analysis, as well as progressive exploration analysis.