%0 Conference Paper %1 Chen2020 %A Chen, Kun-Ting %A Dwyer, Tim %A Marriott, Kim %A Bach, Benjamin %B Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems %C New York, NY, USA %D 2020 %I Association for Computing Machinery %K 2020 visus visus:chenkg %P 1–11 %R 10.1145/3313831.3376180 %T DoughNets: Visualising Networks Using Torus Wrapping %U https://doi.org/10.1145/3313831.3376180 %X We investigate visualisations of networks on a 2-dimensional torus topology, like an opened-up and flattened doughnut. That is, the network is drawn on a rectangular area while "wrapping" specific links around the border. Previous work on torus drawings of networks has been mostly theoretical, limited to certain classes of networks, and not evaluated by human readability studies. We offer a simple interactive layout approach applicable to general graphs. We use this to find layouts affording better aesthetics in terms of conventional measures like more equal edge length and fewer crossings. In two controlled user studies we find that torus layout with either additional context or interactive panning provided significant performance improvement (in terms of error and time) over torus layout without either of these improvements, to the point that it is comparable to standard non-torus layout. %@ 9781450367080

@inproceedings{Chen2020, abstract = {We investigate visualisations of networks on a 2-dimensional torus topology, like an opened-up and flattened doughnut. That is, the network is drawn on a rectangular area while "wrapping" specific links around the border. Previous work on torus drawings of networks has been mostly theoretical, limited to certain classes of networks, and not evaluated by human readability studies. We offer a simple interactive layout approach applicable to general graphs. We use this to find layouts affording better aesthetics in terms of conventional measures like more equal edge length and fewer crossings. In two controlled user studies we find that torus layout with either additional context or interactive panning provided significant performance improvement (in terms of error and time) over torus layout without either of these improvements, to the point that it is comparable to standard non-torus layout.}, added-at = {2022-09-28T17:31:09.000+0200}, address = {New York, NY, USA}, author = {Chen, Kun-Ting and Dwyer, Tim and Marriott, Kim and Bach, Benjamin}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/29ce987963273881ef10602b57f157fbd/pambrisi}, booktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems}, day = 21, doi = {10.1145/3313831.3376180}, interhash = {0bebe30cf667c2a5806122f2ce278cc1}, intrahash = {9ce987963273881ef10602b57f157fbd}, isbn = {9781450367080}, keywords = {2020 visus visus:chenkg}, location = {Honolulu, HI, USA}, month = {4}, pages = {1–11}, publisher = {Association for Computing Machinery}, series = {CHI '20}, timestamp = {2022-09-28T15:31:09.000+0200}, title = {DoughNets: Visualising Networks Using Torus Wrapping}, url = {https://doi.org/10.1145/3313831.3376180}, year = 2020 }