Kardi Teknomo
Doctoral student Graduate School of Information Science, Tohoku University Japan

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Journal : Data Science: Journal of Computing and Applied Informatics

Premagic and Ideal Flow Matrices Teknomo, Kardi
Data Science: Journal of Computing and Applied Informatics Vol. 3 No. 1 (2019): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1107.054 KB) | DOI: 10.32734/jocai.v3.i1-621

Abstract

Several interesting properties of a special type of matrix that has a row sum equal to the column sum are shown with the proofs. Premagic matrix can be applied to strongly connected directed network graph due to its nodes conservation flow. Relationships between Markov Chain, ideal flow and random walk on directed graph are also discussed.