ANALISIS JARINGAN CO-AUTHORSHIP DATA PUBLIKASI INDONESIA DENGAN MENGGUNAKAN TEORI GRAPH
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Institusion
Universitas Sriwijaya
Author
ANGGY TIAS KURNIAWAN (STUDENT ID : 09011181520024)
Firdaus Firdaus (LECTURER ID : 0221017801)
Firdaus Firdaus (LECTURER ID : 0221017801)
Subject
QA76.9.D343 Data mining. Database searching. Big data.
Datestamp
2020-12-28 06:24:07
Abstract :
The number of publications on Scopus in the last ten years especially from Indonesia shows that there is an increase in the number of publications each year. Each publication will form a co-authorship network, which is a relationship between authors. Analyzing the co-authorship network can discover a variety of new information from a network, we can find the author who has the strongest influence, the communities that are formed, the closeness of the relationship between authors, and several other things. The experiment in this study is to analyze the co-authorship network of eleven universities in Indonesia. The dataset was obtained from Scopus and consists of 67,133 publications. The analysis process based on graph theory, where there are a Macro level measurement and Micro level measurement analysis which will reveal the degree distribution, clustering coefficient, graph density, betweenness centrality, closeness centrality, and eigenvector centrality. In addition to analyzing, the results of the co-authorship network research will be displayed in graph form using Gephi software.
The number of publications on Scopus in the last ten years especially from Indonesia shows that there is an increase in the number of publications each year. Each publication will form a co-authorship network, which is a relationship between authors. Analyzing the co-authorship network can discover a variety of new information from a network, we can find the author who has the strongest influence, the communities that are formed, the closeness of the relationship between authors, and several other things. The experiment in this study is to analyze the co-authorship network of eleven universities in Indonesia. The dataset was obtained from Scopus and consists of 67,133 publications. The analysis process based on graph theory, where there are a Macro level measurement and Micro level measurement analysis which will reveal the degree distribution, clustering coefficient, graph density, betweenness centrality, closeness centrality, and eigenvector centrality. In addition to analyzing, the results of the co-authorship network research will be displayed in graph form using Gephi software.
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RAMA_56201_09011181520024.pdf
RAMA_56201_09011181520024_TURNITIN.pdf
RAMA_56201_09011181520024_0221017801_01_front_ref.pdf
RAMA_56201_09011181520024_0221017801_02.pdf
RAMA_56201_09011181520024_0221017801_03.pdf
RAMA_56201_09011181520024_0221017801_04.pdf
RAMA_56201_09011181520024_0221017801_05.pdf
RAMA_56201_09011181520024_0221017801_06_ref.pdf
RAMA_56201_09011181520024_0221017801_07_lamp.pdf
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