Evidence map›Paper›PMID 32999510›Full record

ArticleWater resources research2020

Using Complex Network Analysis for Optimization of Water Distribution Networks.

Robert Sitzenfrei, Qi Wang, Zoran Kapelan, Dragan Savić

Abstract read
In one paragraph

Article in Water resources research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Robert SitzenfreiUnit of Environmental Engineering University of Innsbruck Innsbruck Austria.ORCID https://orcid.org/0000-0003-1093-6040
Qi WangSchool of Civil and Transportation Engineering Guangdong University of Technology Guangzhou China.ORCID https://orcid.org/0000-0003-0746-2366
Zoran KapelanFaculty of Civil Engineering and Geosciences, Department of Water Management Delft University of Technology Delft Netherlands.ORCID https://orcid.org/0000-0002-0934-4470
Dragan SavićKWR Water Cycle Research Institute Nieuwegein Netherlands.ORCID https://orcid.org/0000-0001-9567-9041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimization of water networks supports the decision-making process by identifying the optimal trade-off between costs and performance (e.g., resilience and leakage). A major challenge in the domain of water distribution systems (WDSs) is the network (re)design. While the complex nature of WDS has already been explored with complex network analysis (CNA), literature is still lacking a CNA of optimal water networks. Based on a systematic CNA of Pareto-optimal solutions of different WDSs, several graph characteristics are identified, and a newly developed CNA design approach for WDSs is proposed. The results show that obtained designs are comparable with results found by evolutionary optimization, but the CNA approach is applicable for large networks (e.g., 150,000 pipes) with a substantially reduced computational effort (runtime reduction up to 5 orders of magnitude).

Indexed as

characteristics of optimal WDSsedge betweenness centralitygraph analysislarge networks

Identifiers

PMID32999510
PMCPMC7507211

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.