Model of Cytation Network Analysis using Sequence of Words as Structured Text Representation

Maylawati, D. S. and Rahman, A. and Saputra, M. I. N. and Darmalaksana, Wahyudin and Ramdhani, Muhammad Ali (2018) Model of Cytation Network Analysis using Sequence of Words as Structured Text Representation. In: The 2nd Annual Applied Science and Engineering Conference (AASEC 2017), 24 August 2017, Bandung.

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Official URL: http://iopscience.iop.org/article/10.1088/1757-899...

Abstract

Citation in research activity is crucial. Various of journal publication media are available as a forum for publication and a source of research reference. In this study, we propose an analytical model for cytation networks in journal publications using a network of sciences. In addition, our cited network analysis model contains a structured text representation with Sequence of Words (SOW) form in the pre-process stage. The algorithm which is used to produce text representation in this research is the algorithm that corresponds to the generated SOW form, such as sequential or frequent pattern algorithm. The conceptual validation of the cytation network model in this study was carried out at the Department of Informatics Engineering, UIN Sunan Gunung Djati Bandung. By using Focus Group Discussion (FGD) as a conceptual validation, the cited network analysis model in this study is ready and possible to implement easily because it is described in general concept

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering
Divisions: Fakultas Sains dan Teknologi > Program Studi Teknik Informatika
Depositing User: Muhammad Ali Ramdhani
Date Deposited: 27 May 2018 12:42
Last Modified: 27 May 2018 12:42
URI: http://digilib.uinsgd.ac.id/id/eprint/5755

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