Skripsi

ANALISIS JARINGAN CO-AUTHORSHIP DATA PUBLIKASI INDONESIA DENGAN MENGGUNAKAN TEORI GRAPH

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000065	T39035	T390352020	Central Library	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T390352020

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2020

Collation

xviii, 108 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.407

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Sistem Komputer
Data Processing, System, and Concepts

Specific Detail Info

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Statement of Responsibility

NO

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