Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45679
Full metadata record
DC FieldValueLanguage
dc.date.accessioned2025-03-19T10:14:55Z-
dc.date.available2025-03-19T10:14:55Z-
dc.date.issued2024-
dc.date.submitted2025-03-19T10:14:20Z-
dc.identifier.citationZenodo. 10.5281/zenodo.14065356 https://zenodo.org/doi/10.5281/zenodo.14065356-
dc.identifier.urihttp://hdl.handle.net/1942/45679-
dc.description.abstractThis dataset is associated with the journal article "A new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques". It includes the following files: - colab_matrix_all: The file contains co-occurrenced weights of disciplines- cosine_colab_similarity_matrix_all: The file contains similarity scores between disciplines, calculated by Cosine similarity- cosine_colab_distance_matrix_all: The file contains distance scores calculated by 1 - Cosine similarity score- oc_colab_similarity_matrix_all: The file contains similarity scores calculated by Ochiai score- oc_colab_distance_matrix_all: The file contains distance scores calculated by 1 - Ochiai score- colab_matrix_all_map: The file contains co-occurrenced weight of disciplines used to create map by VOSViewer- colab_matrix_all_network_all: The file contains co-occurrenced weight of disciplines formatted to create map by VOSViewer Citation: Bram Vancraeynest, Hoang-Son Pham, Amr Ali-Eldin,A new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques,Journal of Informetrics,Volume 18, Issue 3,2024,101527,ISSN 1751-1577,https://doi.org/10.1016/j.joi.2024.101527.-
dc.description.sponsorshipThis study was supported by the Flemish Government, under the Expertise Center for Research and Development Monitoring (ECOOM-UHasselt), Hasselt, Belgium.-
dc.language.isoen-
dc.publisherZenodo-
dc.subject.classificationInformetrics-
dc.subject.otherComputer and information sciences-
dc.subject.otherFOS: Computer and information sciences-
dc.titleA new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques-
dc.typeDataset-
local.bibliographicCitation.jcatDS-
dc.description.version1-
dc.rights.licenseCreative Commons Attribution 4.0 International (CC-BY-4.0)-
dc.identifier.doi10.5281/zenodo.14065356-
dc.identifier.urlhttps://zenodo.org/doi/10.5281/zenodo.14065356-
local.provider.typedatacite-
local.uhasselt.internationalyes-
local.contributor.datacreatorVANCRAEYNEST, Bram-
local.contributor.datacreatorPHAM, Hoàng Son-
local.contributor.datacreatorALI ELDIN, Amr-
local.contributor.datacuratorVANCRAEYNEST, Bram-
local.contributor.datacuratorPHAM, Hoàng Son-
local.contributor.datacuratorALI ELDIN, Amr-
local.contributor.rightsholderVANCRAEYNEST, Bram-
local.contributor.rightsholderPHAM, Hoàng Son-
local.contributor.rightsholderALI ELDIN, Amr-
local.format.extent115.0 Kb-
local.format.mimetypetxt-
local.contributororcid.datacreator0000-0002-0464-2049-
local.contributororcid.datacreator0000-0003-0349-3763-
local.contributororcid.datacreator0000-0002-3673-3316-
local.contributororcid.datacurator0000-0002-0464-2049-
local.contributororcid.datacurator0000-0003-0349-3763-
local.contributororcid.datacurator0000-0002-3673-3316-
local.contributororcid.rightsholder0000-0002-0464-2049-
local.contributororcid.rightsholder0000-0003-0349-3763-
local.contributororcid.rightsholder0000-0002-3673-3316-
local.publication.doi10.1016/j.joi.2024.101527-
local.contributingorg.datacreatorCentre for Research & Development Monitoring (ECOOM-UHasselt), Hasselt, 3500, Belgium-
local.contributingorg.datacreatorDSI, Hasselt University, Hasselt, 3500, Belgium-
local.contributingorg.datacreatorComputer engineering and Control systems Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt-
local.contributingorg.datacuratorCentre for Research & Development Monitoring (ECOOM-UHasselt), Hasselt, 3500, Belgium-
local.contributingorg.datacuratorDSI, Hasselt University, Hasselt, 3500, Belgium-
local.contributingorg.datacuratorComputer engineering and Control systems Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt-
local.contributingorg.rightsholderCentre for Research & Development Monitoring (ECOOM-UHasselt), Hasselt, 3500, Belgium-
local.contributingorg.rightsholderDSI, Hasselt University, Hasselt, 3500, Belgium-
local.contributingorg.rightsholderComputer engineering and Control systems Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt-
dc.rights.accessOpen Access-
item.contributorVANCRAEYNEST, Bram-
item.contributorPHAM, Hoàng Son-
item.contributorALI ELDIN, Amr-
item.fullcitationVANCRAEYNEST, Bram; PHAM, Hoàng Son & ALI ELDIN, Amr (2024) A new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques. Zenodo. 10.5281/zenodo.14065356 https://zenodo.org/doi/10.5281/zenodo.14065356.-
item.fulltextNo Fulltext-
item.accessRightsClosed Access-
crisitem.license.codeCC-BY-4.0-
crisitem.license.nameCreative Commons Attribution 4.0 International (CC-BY-4.0)-
crisitem.discipline.code05080401-
crisitem.discipline.nameInformetrics-
crisitem.discipline.pathSocial sciences > Media and communications > Library sciences > Informetrics-
crisitem.discipline.pathandcodeSocial sciences > Media and communications > Library sciences > Informetrics (05080401)-
Appears in Collections:Datasets
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.