Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks

Multiscale Modeling and Simulation(2021)10.1137/19m1262632Source: DataRank Database

Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks is a research paper published in Multiscale Modeling and Simulation (2021). On theSindex it has a DataRank of 0. It has been cited 9 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access9 citations

Free full text

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.70)OA: greenTopics (45)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (3)

Mason A. Porter ORCID,Peter J. Mucha ORCID,Dane Taylor ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W2929387755

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Grant: R01HD075712

James S. McDonnell Foundation

Grant: 220020315

National Science Foundation

Grant: 1922952

ATD: Models of Spreading Dynamics in Multilayer Networks

Simons Foundation

Grant: 578333

National Institutes of Health

Grant: 5R01HD075712-02

Models and Tools for Dynamic Health-Relevant Diffusion over Complex Networks

FWCI

0.70

Citation Percentile

0.7%

Citation Trend

2019

2020

2021

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://arxiv.org/pdf/1904.02059

publisherhttps://epubs.siam.org/doi/pdf/10.1137/19M1262632

repositoryhttp://arxiv.org/abs/1904.02059

journalhttps://doi.org/10.1137/19m1262632

Fields of Study

Complex Network Analysis TechniquesOpinion Dynamics and Social InfluenceMental Health Research Topics01 natural sciences0103 physical sciences

Keywords

Adjacency matrixCentralityEigenvalues and eigenvectorsOmegaMatrix (chemical analysis)Algebraic connectivityCoupling (piping)ScalingTopology (electrical circuits)MathematicsCombinatoricsComputer scienceDiscrete mathematicsTheoretical computer scienceGraphPhysicsLaplacian matrixQuantum mechanicsEngineeringGeometryMaterials scienceSocial and Information Networks (cs.SI)FOS: Computer and information sciencesPhysics - Physics and SocietyEigenvalues, singular values, and eigenvectorsranking systemsmultilayer networksFOS: Physical sciencesComputer Science - Social and Information NetworksNumerical Analysis (math.NA)Physics and Society (physics.soc-ph)Random walks on graphsnetwork scienceApplications of graph theory to circuits and networksDeterministic network models in operations researchFOS: MathematicsMathematics - Numerical AnalysisSmall world graphs, complex networks (graph-theoretic aspects)data integrationperturbation theory