Share

Export Citation

APA
MLA
Chicago
Harvard
Vancouver
BIBTEX
RIS
Universitas Hasanuddin
Research output:Contribution to journalArticlepeer-review

TOTAL EDGE AND VERTEX IRREGULAR STRENGTH OF TWITTER NETWORK

Saputra E.

Barekeng

Q4
Published: 2022Citations: 1

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.

Other files and links

Fingerprint

Upper and lower boundsSciences
Vertex (graph theory)Sciences
CombinatoricsSciences
GraphSciences
Enhanced Data Rates for GSM EvolutionSciences
MathematicsSciences
Computer scienceSciences
Artificial intelligenceSciences
Mathematical analysisSciences