Application of Centrality Measures in Determining Regional Development Priorities in the Graph Representation of Kalimantan Island

https://doi.org/10.47194/ijgor.v3i1.119

Authors

  • Mochamad Suyudi Department of Mathematics, FMIPA, Universitas Padjadjaran Jl. Raya Bandung-Sumedang Km 21, Jatinangor 45363, Jawa Barat, Indonesia
  • Fajrul Iqbal Adli Department of Mathematics, University of Padjadjaran, Jatinanor,Indonesia
  • Asep Kuswandi Supriatna Department of Mathematics, University of Padjadjaran, Jatinanor,Indonesia

Abstract

The relocation of the capital of the Republic of Indonesia to the Kalimantan raises new problems in regional development. In this paper the priority areas to be developed on the Kalimantan will be determined using Centrality Measures. The type of centrality measures used are degree centrality, leverage centrality, closseneess centrality, Jordan centrality, and betwenness centrality. The results show that Banjar, Ketapang, Sintang, Kutai  Kertanegara, and Murung Raya areas are the areas that are central to the island of Kalimantan. Although the center of the island of Kalimantan, it is necessary to study the results of this paper with the actual distance of each region.

References

Costenbader Elizabeth, Valente Thomas W., 2003, The Stability of Centrality Measures When Networks are Sampled, Social Network 25 (2003) 283-307

Dekker, Anthony, 2008, Centrality in Social Networks: Theoretical and Simulation Approaches, https://www.researchgate.net/publication/228981558, Jumat 31 Januari 2020, 13.00

Golbeck, Jennifer, 2013, Analyzing the Social Web, USA, Elsevier

Joye KE, Laurienti PJ, Burdette JH, Hayasaka S, 2010, A New Measure of Centrality for Brain Network, PLoS ONE, 5(8)

Koschutzki, Dirk., Schreiber, Falk, 2008, Centrality Analysis Methods for Biological Networks and Their Application to Genne Regulatory Networks, Gene Regulation and System Biology, 2: 193-201

Takaoka Tadao, 2000, All Pairs Shortest Paths Algorithms, https://researchgate.net/publication/2554916 , Jumat 31 Januari 2020, 13.00

Valante, Thomas W, Coronges, Kathryn, dkk, 2008, How Correlated Are Network Centrality Measures, Connect (Tor). 28(1): 16–26

Vargas, Jr Roger., Waldrone, Abigail., Sharma, Anika., Florez, Rigoberto., dan Narayan, Darren A, 2017, A Graph Theoretic Analysis of Leverage Centrality, Jurnal of Graphs and Combinatorics, 14 : 295-306

Wassermean, Stanley., Faust, Katherine, 1994, Social Network Analysis: Methods and Application, USA, Cambridge University

Published

2022-02-03