Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45679
Title: A new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques
Data Creator - person: VANCRAEYNEST, Bram 
PHAM, Hoàng Son 
ALI ELDIN, Amr 
Data Creator - organization: Centre for Research & Development Monitoring (ECOOM-UHasselt), Hasselt, 3500, Belgium
DSI, Hasselt University, Hasselt, 3500, Belgium
Computer engineering and Control systems Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt
Data Curator - person: VANCRAEYNEST, Bram 
PHAM, Hoàng Son 
ALI ELDIN, Amr 
Data Curator - organization: Centre for Research & Development Monitoring (ECOOM-UHasselt), Hasselt, 3500, Belgium
DSI, Hasselt University, Hasselt, 3500, Belgium
Computer engineering and Control systems Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt
Rights Holder - person: VANCRAEYNEST, Bram 
PHAM, Hoàng Son 
ALI ELDIN, Amr 
Rights Holder - organization: Centre for Research & Development Monitoring (ECOOM-UHasselt), Hasselt, 3500, Belgium
DSI, Hasselt University, Hasselt, 3500, Belgium
Computer engineering and Control systems Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt
Publisher: Zenodo
Issue Date: 2024
Abstract: This 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.
Research Discipline: Social sciences > Media and communications > Library sciences > Informetrics (05080401)
Keywords: Computer and information sciences;FOS: Computer and information sciences
DOI: 10.5281/zenodo.14065356
Link to publication/dataset: https://zenodo.org/doi/10.5281/zenodo.14065356
Source: Zenodo. 10.5281/zenodo.14065356 https://zenodo.org/doi/10.5281/zenodo.14065356
Publications related to the dataset: 10.1016/j.joi.2024.101527
License: Creative Commons Attribution 4.0 International (CC-BY-4.0)
Access Rights: Open Access
Version: 1
Category: DS
Type: Dataset
Appears in Collections:Datasets

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