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What is Co-Occurrence Analysis

Encyclopedia of Data Science and Machine Learning
An examination of the frequency of occurrence and the strength of the link between specific keywords.
Published in Chapter:
Big Data and Sustainability Innovation
Budi Harsanto (Universitas Padjadjaran, Indonesia) and Egi Arvian Firmansyah (Universiti Brunei Darussalam, Brunei & Universitas Padjadjaran, Indonesia)
Copyright: © 2023 |Pages: 24
DOI: 10.4018/978-1-7998-9220-5.ch126
Abstract
Today, big data has become an inseparable part of the advancement of information and communication technology. This is in line with the development of sustainability innovation, which has been developed, particularly in the last decade. The purpose of this article is to understand the development of big data in sustainability innovation. The analysis was carried out using descriptive statistics and co-occurrence analysis on published documents obtained through a systematic search in the Web of Science academic database. According to the findings, there was an increase in publications, particularly beginning around 2014, with contributions from the fields of environmental sciences, science technology, business economics, engineering, and computer sciences. Co-occurrence analysis yields 116 most frequently occurring keywords, which are divided into six clusters. This article contributes to a better understanding of the role of big data in fostering more sustainable innovation in business and society.
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Social Innovation: An Introduction
A visualization approach used in bibliometric analysis indicating the frequently used and highly connected terms or words found in publications related to a specific field of research.
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