%0 Book Section %1 Brandes2019 %A Brandes, Ulrik %A Sedlmair, Michael %B Network Science: An Aerial View %C Cham %D 2019 %E Biagini, Francesca %E Kauermann, Göran %E Meyer-Brandis, Thilo %I Springer International Publishing %K 2019 visus visus:sedlmaml %P 5-21 %R 10.1007/978-3-030-26814-5_2 %T Network Visualization %U https://doi.org/10.1007/978-3-030-26814-5_2 %X Data visualization is the art and science of mapping data to graphical variables. In this context, networks give rise to unique difficulties because of inherent dependencies among their elements. We provide a high-level overview of the main challenges and common techniques to address them. They are illustrated with examples from two application domains, social networks and automotive engineering. The chapter concludes with opportunities for future work in network visualization. %@ 978-3-030-26814-5

@inbook{Brandes2019, abstract = {Data visualization is the art and science of mapping data to graphical variables. In this context, networks give rise to unique difficulties because of inherent dependencies among their elements. We provide a high-level overview of the main challenges and common techniques to address them. They are illustrated with examples from two application domains, social networks and automotive engineering. The chapter concludes with opportunities for future work in network visualization.}, added-at = {2020-11-04T14:13:06.000+0100}, address = {Cham}, author = {Brandes, Ulrik and Sedlmair, Michael}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2af68a416b0843c5eda1607793f1eb95c/leonkokkoliadis}, booktitle = {Network Science: An Aerial View}, doi = {10.1007/978-3-030-26814-5_2}, editor = {Biagini, Francesca and Kauermann, Göran and Meyer-Brandis, Thilo}, interhash = {b2fd11b1f61fd3c1f9f08d29cd86e6c3}, intrahash = {af68a416b0843c5eda1607793f1eb95c}, isbn = {978-3-030-26814-5}, keywords = {2019 visus visus:sedlmaml}, pages = {5-21}, publisher = {Springer International Publishing}, timestamp = {2020-11-04T13:13:06.000+0100}, title = {Network Visualization}, url = {https://doi.org/10.1007/978-3-030-26814-5_2}, year = 2019 }