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Symmetry 2018, 10(1), 32; https://doi.org/10.3390/sym10010032

Editorial
Graph Theory
Departamento de Matemáticas, Universidad Carlos III de Madrid, Avenida de la Universidad, 30 CP-28911 Leganés, Madrid, Spain
Received: 19 January 2018 / Accepted: 19 January 2018 / Published: 22 January 2018
This book contains the successful invited submissions [1,2,3,4,5,6,7,8,9,10] to a special issue of Symmetry on the subject area of ‘graph theory’.
Although symmetry has always played an important role in graph theory, in recent years, this role has increased significantly in several branches of this field, including, but not limited to: Gromov hyperbolic graphs, metric dimension of graphs, domination theory, and topological indices. This Special issue invites contributions addressing new results on these topics, both from a theoretical and an applied point of view.
This special issue includes the novel techniques and tools for graph theory, such as:
  • Local metric dimension of graphs [1].
  • Gromov hyperbolicity on geometric graphs [2,3,5].
  • Beta-differential of graphs [4].
  • Path ordinal method [6].
  • Neural networks on multi-centrality-index diagrams [7] and complex networks [8].
  • Connectivity indices and movement directions at path segments [9].
  • Independent (1, 2)-sets in cylindrical networks [10].
The response to our call had the following statistics:
  • Submissions (40);
  • Publications (10);
  • Rejections (30);
  • Article types: Research Article (10);
Our authors’ geographical distribution (published papers) is:
  • Spain (8)
  • Japan (4)
  • Mexico (4)
  • Austria (2)
  • Korea (2)
  • Luxembourg (1)
  • Poland (1)
  • Egypt (1)
Published submissions are related to local metric dimension, Gromov hyperbolicity, differential, path ordinal method, neural networks, connectivity indices, and independent sets, as well as their applications.
We found the edition and selections of papers for this book very inspiring and rewarding. We also thank the editorial staff and reviewers for their efforts and help during the process.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Barragán-Ramírez, G.; Estrada-Moreno, A.; Ramírez-Cruz, Y.; Rodríguez-Velázquez, J. The Simultaneous Local Metric Dimension of Graph Families. Symmetry 2017, 9, 132. [Google Scholar] [CrossRef]
  2. Granados, A.; Pestana, D.; Portilla, A.; Rodríguez, J. Gromov Hyperbolicity in Mycielskian Graphs. Symmetry 2017, 9, 131. [Google Scholar] [CrossRef]
  3. Martínez-Pérez, Á. Generalized Chordality, Vertex Separators and Hyperbolicity on Graphs. Symmetry 2017, 9, 199. [Google Scholar] [CrossRef]
  4. Basilio, L.; Bermudo, S.; Leaños, J.; Sigarreta, J. β-Differential of a Graph. Symmetry 2017, 9, 205. [Google Scholar] [CrossRef]
  5. Hernández-Gómez, J.; Reyes, R.; Rodríguez, J.; Sigarreta, J. Mathematical Properties on the Hyperbolicity of Interval Graphs. Symmetry 2017, 9, 255. [Google Scholar] [CrossRef]
  6. Kamal, H.; Larena, A.; Bernabeu, E. Analytical Treatment of Higher-Order Graphs: A Path Ordinal Method for Solving Graphs. Symmetry 2017, 9, 288. [Google Scholar] [CrossRef]
  7. Mizui, Y.; Kojima, T.; Miyagi, S.; Sakai, O. Graphical Classification in Multi-Centrality-Index Diagrams for Complex Chemical Networks. Symmetry 2017, 9, 309. [Google Scholar] [CrossRef]
  8. Lee, Y.; Sohn, I. Reconstructing Damaged Complex Networks Based on Neural Networks. Symmetry 2017, 9, 310. [Google Scholar] [CrossRef]
  9. Taczanowska, K.; Bielański, M.; González, L.; Garcia-Massó, X.; Toca-Herrera, J. Analyzing Spatial Behavior of Backcountry Skiers in Mountain Protected Areas Combining GPS Tracking and Graph Theory. Symmetry 2017, 9, 317. [Google Scholar] [CrossRef]
  10. Carreño, J.; Martínez, J.; Puertas, M. Efficient Location of Resources in Cylindrical Networks. Symmetry 2018, 10, 24. [Google Scholar] [CrossRef]

© 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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