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A Dynamic Network Layout Visualization Method Based on Structural Similarity

机译:基于结构相似度的动态网络布局可视化方法

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Many real-world networks, including social and computer networks, have complex time-varying characteristics that evolve over time. Such dynamic networks are typically visualized using a sequence of timeslices, each timeslice presents the network topology at a particular time step. It is difficult to preserve the dynamic stability and visual continuity of the timeslices sequence, which allow researchers to interpret the temporal evolution of the network. In this paper, a dynamic network layout visualization method based on structural similarity is proposed to improve the quality of the timeslices. First, using network layout algorithm based on the community structure lay-outs a single timeslice and optimizing the layout through the static network cost function. Then, the new nodes are pre placed and the movement direction of nodes are constrained by a node movement method based on the s structural similarity, which can improve the dynamic stability and visual continuity of the timeslices sequence layout. Experiments show that the proposed method has a smaller layout cost in a single timeslice compared with the traditional dynamic network visualization, and a smaller node moving distance and the degree of structural shape change in the timeslices sequence.
机译:许多现实世界的网络(包括社交网络和计算机网络)具有随时间变化的复杂时变特征。通常使用一系列时间片来可视化这种动态网络,每个时间片在特定的时间步长上呈现网络拓扑。很难保留时间序列的动态稳定性和视觉连续性,这使研究人员能够解释网络的时间演变。提出了一种基于结构相似度的动态网络布局可视化方法,以提高时间片的质量。首先,使用基于社区结构的网络布局算法对单个时间片进行布局,并通过静态网络成本函数优化布局。然后,通过基于结构相似性的节点移动方法,预先放置新节点并限制节点的移动方向,可以提高时间序列序列布局的动态稳定性和视觉连续性。实验表明,与传统的动态网络可视化相比,该方法在单个时间片中的布局成本较小,并且在时间片序列中节点移动距离和结构形状变化程度较小。

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