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Visualization plays a vital role in making sense of complex network data.Recent studies have shown the potential of using extended reality (XR) for theimmersive exploration of networks. The additional depth cues offered by XR helpusers perform better in certain tasks when compared to using traditionaldesktop setups. However, prior works on immersive network visualization rely onmostly static graph layouts to present the data to the user. This poses aproblem since there is no optimal layout for all possible tasks. The choice oflayout heavily depends on the type of network and the task at hand. Weintroduce a multi-layout approach that allows users to effectively explorehierarchical network data in immersive space. The resulting system leveragesdifferent layout techniques and interactions to efficiently use the availablespace in VR and provide an optimal view of the data depending on the task andthe level of detail required to solve it. To evaluate our approach, we haveconducted a user study comparing it against the state of the art for immersivenetwork visualization. Participants performed tasks at varying spatial scopes.The results show that our approach outperforms the baseline in spatiallyfocused scenarios as well as when the whole network needs to be considered.

A Multi-Layout Design for Immersive Visualization of Network Data