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TOURISM ON INSTAGRAM: A SOCIAL NETWORK ANALYSIS

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 16 No. 1 (2022) · pp. 199–206

DOI
10.30598/barekengvol16iss1pp197-204
ISSN
2615-3017, 1978-7227
Published
2022-03-21
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

This research aims to analyze and describe the development of tourism in Maluku Province, Indonesia on Instagram. The data used in this study are hashtags from several excellent tourist attractions or tourist priorities set by the maluku province tourism office. The data is then processed using social network analysis to find the level of importance and connectedness of tourism hashtags with other hashtags used in image captions on Instagram posts. The results showed that there are nine hashtags that have an important role in the network because they have high values in the measurement of degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. The hashtags are #maluku, #ambon, #natsepa, #pulauosi, #pulaubair, #beach, #repost, #indonesia, and #namalatu. Two of nine hashtags have a high betweenness centrality value, namely #natsepa that represent natsepa beach tourism and #namalatu that represents namalatu beach tourism. Both of these tours have a high value betweenness centrality with a different form of hashtags, namely #natsepa.id and #namalatu02. This research conducted using social network analysis degree measurements such as degree, betweeness, closeness, and eigenvector to analyze insight of tourism topics in Instagram. The result of this research can give insights to the tourism actors, especially in Maluku Province, of how the hashtags are connected and related. The relation of the hashtags can be used as social media marketing strategy.

Collaboration network of the authors

8 authors · 14 co-authorship links

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Co-authorOrganisationJoint articles
Fitri MaimunahAffiliation unknown1
Yopi Andry LesnussaAffiliation unknown1
Zeth Arthur LeleuryAffiliation unknown1
Swine Enggelina LarubunAffiliation unknown1
Maria Marlein WarongAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">TOURISM ON INSTAGRAM: A SOCIAL NETWORK ANALYSIS</dc:title>
	<dc:creator>Tahalea, Sylvert Prian</dc:creator>
	<dc:creator>Salouw, Elvis</dc:creator>
	<dc:creator>Wibowo, Astrid Wahyu Adventri</dc:creator>
	<dc:description xml:lang="en-US">This research aims to analyze and describe the development of tourism in Maluku Province, Indonesia on Instagram. The data used in this study are hashtags from several excellent tourist attractions or tourist priorities set by the maluku province tourism office. The data is then processed using social network analysis to find the level of importance and connectedness of tourism hashtags with other hashtags used in image captions on Instagram posts. The results showed that there are nine hashtags that have an important role in the network because they have high values in the measurement of degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. The hashtags are #maluku, #ambon, #natsepa, #pulauosi, #pulaubair, #beach, #repost, #indonesia, and #namalatu. Two of nine hashtags have a high betweenness centrality value, namely #natsepa that represent natsepa beach tourism and #namalatu that represents namalatu beach tourism. Both of these tours have a high value betweenness centrality with a different form of hashtags, namely #natsepa.id and #namalatu02. This research conducted using social network analysis degree measurements such as degree, betweeness, closeness, and eigenvector to analyze insight of tourism topics in Instagram. The result of this research can give insights to the tourism actors, especially in Maluku Province, of how the hashtags are connected and related. The relation of the hashtags can be used as social media marketing strategy.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2022-03-21</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4898</dc:identifier>
	<dc:identifier>10.30598/barekengvol16iss1pp197-204</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 199-206</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol16iss1year2022</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4898/4022</dc:relation>
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