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ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

Network Topological Property of English Dialects Similarity: A Robust Filter Approach

Maman Abdurachman Djauhari1 and Gan Siew Lee1
  • 1 Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

Abstract

We show that the common approach to use of Minimum Spanning Tree (MST) to filter the information contained in a complex system of English dialects similarity is not robust. Later on we propose a robust filter based on the forest of all possible MSTs. To illustrate the advantages of this filter, Morgan’s data on English dialects similarity is analyzed and promising results are reported.

American Journal of Applied Sciences
Volume 10 No. 7, 2013, 646-653

DOI: https://doi.org/10.3844/ajassp.2013.646.653

Submitted On: 28 January 2013 Published On: 17 June 2013

How to Cite: Djauhari, M. A. & Lee, G. S. (2013). Network Topological Property of English Dialects Similarity: A Robust Filter Approach. American Journal of Applied Sciences, 10(7), 646-653. https://doi.org/10.3844/ajassp.2013.646.653

Open AccessCopyright: © 2013 Maman Abdurachman Djauhari and Gan Siew Lee. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Centrality Measure
  • Minimum Spanning Tree
  • Networks Analysis
  • Single Linkage
  • Sub-Dominant Ultrametric