Li, Y. -NZhang, KangHu, D. -NHuang, M. L.2020-02-182020-02-182019-05-040020-0255http://dx.doi.org/10.1016/j.ins.2019.05.007https://hdl.handle.net/10735.1/7280Due to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article).Millions of nodes and edges in a node-link diagram representing the network structure of big data may clutter the space, reducing the aesthetic quality and hindering the process of information search. Edge bundling offers an approach to solve this problem. However, to what extent that edge bundling can solve the problem remains unclear. Addressing the literature in visual complexity and Gestalt law of prägnanz, we empirically examine the influence of edge bundling on users’ information search performance, i.e., the accuracy, responding time and perceptual fluency under different levels of bundling strength. The paper reports our findings with detailed discussions. © 2019 Elsevier Inc.en©2019 Elsevier Inc. All Rights Reserved.Electronic information resource searchingArtificial intelligenceSoftware engineeringQuality (Aesthetics)Information retrievalarticleLi, Y. -N, K. Zhang, D. -N Hu, and M. L. Huang. 2019. "The influence of edge bundling on visual information search." Information Sciences 495: 234-246, doi: 10.1016/j.ins.2019.05.007495