title: Network nursing: connections between nursing and complex network science.
abstract: OBJECTIVE
  Nursing processes are complex and include quite a few nonlinear interrelationships that are difficult to discover. Moreover, the formal description, visualization, and analysis of these processes are nontrivial challenges. The purpose of this paper is to establish the term network nursing as synonym for using quantitative graph theory in nursing science and to discuss how network nursing can be used for tackling such complex challenges in nursing science.
  
  
  METHODS
  In particular, methods from quantitative graph theory, divided into two major classes, comparative network analysis and network characterization, are employed to solve challenging problems in nursing.
  
  
  RESULTS
  We demonstrate by way of example that this mathematical apparatus is feasible to tackle research questions when modeling and analyzing nursing processes. Here we use a "NANDA-I" showcase to illustrate how nursing networks can be derived from nursing data and how these networks can be used to compare different patients regarding their nursing diagnoses.
  
  
  CONCLUSIONS
  Nursing networks can be used to characterize patients from a nursing perspective. Especially, they allow a process-based view and are able to map relationships or dependencies. One major advantage of a networking approach is that it can be applied independently from the underlying nursing classifications or terminologies.
  
  
  CONCLUSIONS
  Network nursing makes it possible to formally investigate the nursing process and thus opens up a so far little-known cosmos of possibilities and methods to expand nursing knowledge.
authors.affiliation: Department for Biomedical Informatics and Mechatronics, Institute for Bioinformatics and Translational Research, UMIT, Hall, Tyrol, Austria.
authors.forename: Matthias
authors.initials: M
authors.lastname: Dehmer
authors.forename: Werner O
authors.initials: WO
authors.lastname: Hackl
authors.forename: Frank
authors.initials: F
authors.lastname: Emmert-Streib
authors.forename: Eva
authors.initials: E
authors.lastname: Schulc
authors.forename: Christa
authors.initials: C
authors.lastname: Them
mesh_terms: D009736:Nursing Process
keywords: Complex network; network complexity; nursing; quantitative graph theory