Evidence map›Paper›PMID 26751371›Full record

ArticlePloS one2016

Topological Vulnerability Evaluation Model Based on Fractal Dimension of Complex Networks.

Li Gou, Bo Wei, Rehan Sadiq, Yong Sadiq, Yong Deng

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Li GouSchool of Computer and Information Science, Southwest University, Chongqing 400715, China.
Bo WeiSchool of Computer and Information Science, Southwest University, Chongqing 400715, China.
Rehan SadiqSchool of Engineering, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC, Canada V1V 1V7.
Yong SadiqSchool of Engineering, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC, Canada V1V 1V7.
Yong DengSchool of Computer and Information Science, Southwest University, Chongqing 400715, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With an increasing emphasis on network security, much more attentions have been attracted to the vulnerability of complex networks. In this paper, the fractal dimension, which can reflect space-filling capacity of networks, is redefined as the origin moment of the edge betweenness to obtain a more reasonable evaluation of vulnerability. The proposed model combining multiple evaluation indexes not only overcomes the shortage of average edge betweenness's failing to evaluate vulnerability of some special networks, but also characterizes the topological structure and highlights the space-filling capacity of networks. The applications to six US airline networks illustrate the practicality and effectiveness of our proposed method, and the comparisons with three other commonly used methods further validate the superiority of our proposed method.

Indexed as

AircraftFractalsAlgorithmsComputer SimulationModels, StatisticalUnited States

Identifiers

PMID26751371
PMCPMC4709056

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.