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TOTAL EDGE AND VERTEX IRREGULAR STRENGTH OF TWITTER NETWORK

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 16 No. 1 (2022) · pp. 091–098

DOI
10.30598/barekengvol16iss1pp091-098
ISSN
2615-3017, 1978-7227
Published
2022-03-21
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

Twitter data can be converted into a graph where users can represent the vertices. Then the edges can be represented as relationships between users. This research focused on determining the total edge irregularity strength (tes) and the total vertices irregularity strength (tvs) of the Twitter network. The value could be determined by finding the greatest lower bound and the smallest upper bound. The lower bound was determined by using the properties, characteristics of the Twitter network graph along with the supporting theorems from previous studies, while the upper bound is determined through the construction of the total irregular labeling function on the Twitter network. The results in this study are the tes(TW)=18 and tvs(TW)=16.

Collaboration network of the authors

16 authors · 49 co-authorship links

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Co-authorOrganisationJoint articles
Edy Saputra RusdiAffiliation unknown1
A. Muh. Amil SiddikAffiliation unknown1
Naimah ArisAffiliation unknown1
Muhammad Ardiansyah AsrifahAffiliation unknown1
Nur Hilal A. SyahrirAffiliation unknown1
Aidawayati RangkutiAffiliation unknown1
Wahyudi RusdiAffiliation unknown1
Hikmah HikmahAffiliation unknown1
Putri Indi RahayuAffiliation unknown1
Ainun Mawaddah AbdalAffiliation unknown1
Andi Muhammad AnwarAffiliation unknown1
Illuminata WynnieAffiliation unknown1
Amil SiddikAffiliation unknown1
Mauliddin MauliddinAffiliation 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">TOTAL EDGE AND VERTEX IRREGULAR STRENGTH OF TWITTER NETWORK</dc:title>
	<dc:creator>Rusdi, Edy Saputra</dc:creator>
	<dc:creator>A. Syahrir, Nur Hilal</dc:creator>
	<dc:description xml:lang="en-US">Twitter data can be converted into a graph where users can represent the vertices. Then the edges can be represented as relationships between users. This research focused on determining the total edge irregularity strength (tes) and the total vertices irregularity strength (tvs) of the Twitter network. The value could be determined by finding the greatest lower bound and the smallest upper bound. The lower bound was determined by using the properties, characteristics of the Twitter network graph along with the supporting theorems from previous studies, while the upper bound is determined through the construction of the total irregular labeling function on the Twitter network. The results in this study are the tes(TW)=18 and tvs(TW)=16.</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>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4447</dc:identifier>
	<dc:identifier>10.30598/barekengvol16iss1pp091-098</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; 091-098</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/4447/4009</dc:relation>
</oai_dc:dc>