% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @INBOOK{Drpinghaus:257345, author = {Dörpinghaus, Jens and Weil, Vera and Schaaf, Sebastian and Apke, Alexander}, title = {{N}etwork {A}nalysis: {B}ringing {G}raphs to {J}ava; 1st ed. 2022}, volume = {112}, address = {Cham}, publisher = {Springer}, reportid = {DZNE-2023-00414}, isbn = {978-3-031-08411-9}, series = {Studies in Big Data}, pages = {327-359}, year = {2022}, comment = {[Ebook] Computational Life Sciences : Data Engineering and Data Mining for Life Sciences / Dörpinghaus, Jens ; Weil, Vera ; Schaaf, Sebastian ; Apke, Alexander 1st ed. 2022, Cham : Springer International Publishing, 2022,}, booktitle = {[Ebook] Computational Life Sciences : Data Engineering and Data Mining for Life Sciences / Dörpinghaus, Jens ; Weil, Vera ; Schaaf, Sebastian ; Apke, Alexander 1st ed. 2022, Cham : Springer International Publishing, 2022,}, abstract = {Network structures play an important role in life sciences and data representation. For example, they are used within biological and social networks, protein interaction networks. In this chapter, we introduce the analysis of graph structures with Java. In particular, we discuss directed and undirected graphs, random graphs and interaction networks.}, cin = {AG Klockgether / AG Becker ; GenomMathematik ; GenomMathematik}, ddc = {620.00285}, cid = {I:(DE-2719)1011001 / I:(DE-2719)1013007}, pnm = {353 - Clinical and Health Care Research (POF4-353) / 354 - Disease Prevention and Healthy Aging (POF4-354)}, pid = {G:(DE-HGF)POF4-353 / G:(DE-HGF)POF4-354}, typ = {PUB:(DE-HGF)7}, doi = {10.1007/978-3-031-08411-9}, url = {https://pub.dzne.de/record/257345}, }