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| A Visual Layout Algorithm for Signed Networks |
| CAO Yang1, XU Xiaoke2, XU Shuang1
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1. School of Information and Communication Engineering, Dalian Minzu University, Dalian 116600, China; 2. School of Journalism and Communication, Beijing Normal University, Beijing 100875, China |
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Abstract This paper aims to address the problem that existing network visualization layout algorithms fail to fully consider the characteristics of connected edge symbols in symbolic networks. To this end, we propose a new algorithm to optimize the mechanism of inter-node forces by adjusting the node positions according to the connecting edge symbols by adjusting the node forces and considering the global equilibrium. Experimental results show that the algorithm can visualize the positive or negative relationships in the symbolic network and enhance users' understanding of the network topology. In addition, we propose new network layout aesthetics metrics to quantify the layout quality and effectively reduce the edge length bias and the number of edge crossings. This study provides new methods for visualizing symbolic networks and helps to deeply understand complex network structures.
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Received: 24 June 2024
Published: 19 May 2026
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