Using social media data to explore communication processes within South Korean online innovation communities

Sujin Choi; Ji young Park; Han Woo Park

doi:10.1007/s11192-011-0514-7

Using social media data to explore communication processes within South Korean online innovation communities

Sujin Choi
, Ji young Park
, Han Woo Park

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

In order to explore new scientific and innovative communities, analyses based on a technological infrastructure and its related tools, for example, 'Web of science' database for Scientometric analysis, are necessary. However, there is little systematic documentation of social media data and webometric analysis in relation to Korean and broader Asian innovation communities. In this short communication, we present (1) webometric techniques to identify communication processes on the Internet, such as social media data collection and analysis using an API-based application; and (2) experimentation with new types of data visualization using NodeXL, such as social and semantic network analysis. Our research data is drawn from the social networking site, Twitter. We also examine the overlap between innovation communities in terms of their shared members, and then, (3) calculate entropy values for trilateral relationships.

Original language	English
Pages (from-to)	43-56
Number of pages	14
Journal	Scientometrics
Volume	90
Issue number	1
DOIs	https://doi.org/10.1007/s11192-011-0514-7
Publication status	Published - Jan 2012

Bibliographical note

Funding Information:
Acknowledgments The authors are grateful to colleagues in the WCU Webometrics Institute for their valuable comments on an earlier version of this paper that was presented at the SunBelt Social Networks Conference in February 2011, prior to extensive modification with different research questions. This research was partly supported by the WCU (World Class University) program of the National Research Foundation of Korea, funded by the Ministry of Education, Science and Technology (No. 515-82-06574) (http://www.webometrics.yu.ac.kr).

Keywords

Innovation
Social media
Twitter
Webometrics

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10.1007/s11192-011-0514-7

Cite this

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title = "Using social media data to explore communication processes within South Korean online innovation communities",

abstract = "In order to explore new scientific and innovative communities, analyses based on a technological infrastructure and its related tools, for example, 'Web of science' database for Scientometric analysis, are necessary. However, there is little systematic documentation of social media data and webometric analysis in relation to Korean and broader Asian innovation communities. In this short communication, we present (1) webometric techniques to identify communication processes on the Internet, such as social media data collection and analysis using an API-based application; and (2) experimentation with new types of data visualization using NodeXL, such as social and semantic network analysis. Our research data is drawn from the social networking site, Twitter. We also examine the overlap between innovation communities in terms of their shared members, and then, (3) calculate entropy values for trilateral relationships.",

keywords = "Innovation, Social media, Twitter, Webometrics",

author = "Sujin Choi and Park, \{Ji young\} and Park, \{Han Woo\}",

note = "Funding Information: Acknowledgments The authors are grateful to colleagues in the WCU Webometrics Institute for their valuable comments on an earlier version of this paper that was presented at the SunBelt Social Networks Conference in February 2011, prior to extensive modification with different research questions. This research was partly supported by the WCU (World Class University) program of the National Research Foundation of Korea, funded by the Ministry of Education, Science and Technology (No. 515-82-06574) (http://www.webometrics.yu.ac.kr).",

year = "2012",

month = jan,

doi = "10.1007/s11192-011-0514-7",

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pages = "43--56",

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PY - 2012/1

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N2 - In order to explore new scientific and innovative communities, analyses based on a technological infrastructure and its related tools, for example, 'Web of science' database for Scientometric analysis, are necessary. However, there is little systematic documentation of social media data and webometric analysis in relation to Korean and broader Asian innovation communities. In this short communication, we present (1) webometric techniques to identify communication processes on the Internet, such as social media data collection and analysis using an API-based application; and (2) experimentation with new types of data visualization using NodeXL, such as social and semantic network analysis. Our research data is drawn from the social networking site, Twitter. We also examine the overlap between innovation communities in terms of their shared members, and then, (3) calculate entropy values for trilateral relationships.

AB - In order to explore new scientific and innovative communities, analyses based on a technological infrastructure and its related tools, for example, 'Web of science' database for Scientometric analysis, are necessary. However, there is little systematic documentation of social media data and webometric analysis in relation to Korean and broader Asian innovation communities. In this short communication, we present (1) webometric techniques to identify communication processes on the Internet, such as social media data collection and analysis using an API-based application; and (2) experimentation with new types of data visualization using NodeXL, such as social and semantic network analysis. Our research data is drawn from the social networking site, Twitter. We also examine the overlap between innovation communities in terms of their shared members, and then, (3) calculate entropy values for trilateral relationships.

KW - Innovation

KW - Social media

KW - Twitter

KW - Webometrics

UR - https://www.scopus.com/pages/publications/82655173798

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SP - 43

EP - 56

JO - Scientometrics

JF - Scientometrics

IS - 1

ER -

Using social media data to explore communication processes within South Korean online innovation communities

Abstract

Bibliographical note

Keywords

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