Symmetry in Algorithmic Graph Theory and Interconnection Networks

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 4398

Special Issue Editors


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Guest Editor
Department of Mathematics, College of Information Science and Technology, Jinan University, Guangzhou 510632, China
Interests: graph theory; interconnection networks; discrete applied mathematics; theoretical computer science; embedding; fault tolerance

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Guest Editor
Institute of Information and Decision Sciences, National Taipei University of Business, Taipei 10051, Taiwan
Interests: algorithms; graph theory; network optimization; reliability and fault-tolerance; parallel and distributed computing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Interests: wireless networks; parallel and distributed computing; graph theory; artificial intelligence; Internet of Things

Special Issue Information

Dear Colleagues,

Graph theory is an ancient but very active mathematical discipline that deals with the study of graphs, which are mathematical structures used to model relationships between objects. A graph consists of a set of vertices (nodes) and edges (connections) that link these vertices. Graph theory provides a powerful framework for analyzing and solving problems involving networks, such as interconnection networks, social networks, complex networks, transportation systems, and computer networks. It offers a rich collection of algorithms and concepts for understanding connectivity, paths, cycles, and other fundamental properties of graphs.

Interconnection networks are crucial in the design of large-scale computer systems, such as parallel computers, distributed systems, and high-performance computing clusters. Interconnection networks are typically represented as graphs, with nodes representing processing processors and edges representing communication links. Graph theory plays a vital role in analyzing the properties and performance of interconnection networks.

Symmetry is a fundamental concept found in various scientific disciplines. Many interconnection networks have symmetrical structures and possess high symmetry due to their recursive construction and their vertex-transitive and edge-transitive properties, and thus are used in parallel systems. Symmetry plays a crucial role in understanding and exploiting the inherent regularity and structure of networks.

Algorithms are used to solve a wide range of problems, including graph traversal, shortest paths, network routing, and network optimization. Symmetry-based algorithms enable the identification of symmetrical patterns within networks, leading to enhanced system performance and communication efficiency, reduced latency and resource utilization, and efficient resource allocation, fault tolerance, and load balancing.

Contributions pursuing solutions to graph theory problems with algorithms as well as for interconnection networks are welcome.

Dr. Dongqin Cheng
Prof. Dr. Jou-Ming Chang
Dr. Chengkuan Lin
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • complex networks
  • graph algorithms
  • graph theory
  • interconnection networks
  • network optimization
  • parallel and distributed computing
  • reliability and fault tolerance
  • social networks
  • topological index

Published Papers (4 papers)

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Research

15 pages, 467 KiB  
Article
Cycle Embedding in Enhanced Hypercubes with Faulty Vertices
by Min Liu
Symmetry 2024, 16(1), 44; https://doi.org/10.3390/sym16010044 - 28 Dec 2023
Viewed by 1140
Abstract
The enhanced hypercube is a well-known variant of the hypercube and can be constructed from a hypercube by adding an edge to every pair of vertices with complementary addresses. Let Fv denote the set of faulty vertices in an n-dimensional enhanced [...] Read more.
The enhanced hypercube is a well-known variant of the hypercube and can be constructed from a hypercube by adding an edge to every pair of vertices with complementary addresses. Let Fv denote the set of faulty vertices in an n-dimensional enhanced hypercube Qn,k(1kn1). In this paper, we conclude that if n2, then every fault-free edge of Qn,kFv lies on a fault-free cycle of every even length from 4 to 2n2|Fv|, and if n(2) and k have the different parity, then every fault-free edge of Qn,kFv lies on a fault-free cycle of every possible odd length from nk+4 to 2n2|Fv|1, where |Fv|n2. Full article
(This article belongs to the Special Issue Symmetry in Algorithmic Graph Theory and Interconnection Networks)
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10 pages, 349 KiB  
Article
The Structural Properties of (2, 6)-Fullerenes
by Rui Yang and Mingzhu Yuan
Symmetry 2023, 15(11), 2078; https://doi.org/10.3390/sym15112078 - 17 Nov 2023
Viewed by 547
Abstract
A (2,6)-fullerene F is a 2-connected cubic planar graph whose faces are only 2-length and 6-length. Furthermore, it consists of exactly three 2-length faces by Euler’s formula. The (2,6)-fullerene comes [...] Read more.
A (2,6)-fullerene F is a 2-connected cubic planar graph whose faces are only 2-length and 6-length. Furthermore, it consists of exactly three 2-length faces by Euler’s formula. The (2,6)-fullerene comes from Došlić’s (k,6)-fullerene, a 2-connected 3-regular plane graph with only k-length faces and hexagons. Došlić showed that the (k,6)-fullerenes only exist for k=2, 3, 4, or 5, and some of the structural properties of (k,6)-fullerene for k=3, 4, or 5 were studied. The structural properties, such as connectivity, extendability, resonance, and anti−Kekulé number, are very useful for studying the number of perfect matchings in a graph, and thus for the study of the stability of the molecular graphs. In this paper, we study the properties of (2,6)-fullerene. We discover that the edge-connectivity of (2,6)-fullerenes is 2. Every (2,6)-fullerene is 1-extendable, but not 2-extendable (F is called n-extendable (|V(F)|2n+2) if any matching of n edges is contained in a perfect matching of F). F is said to be k-resonant (k1) if the deleting of any i (0ik) disjoint even faces of F results in a graph with at least one perfect matching. We have that every (2,6)-fullerene is 1-resonant. An edge set, S, of F is called an anti−Kekulé set if FS is connected and has no perfect matchings, where FS denotes the subgraph obtained by deleting all edges in S from F. The anti−Kekulé number of F, denoted by ak(F), is the cardinality of a smallest anti−Kekulé set of F. We have that every (2,6)-fullerene F with |V(F)|>6 has anti−Kekulé number 4. Further we mainly prove that there exists a (2,6)-fullerene F having fF hexagonal faces, where fF is related to the two parameters n and m. Full article
(This article belongs to the Special Issue Symmetry in Algorithmic Graph Theory and Interconnection Networks)
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13 pages, 664 KiB  
Article
An Independent Cascade Model of Graph Burning
by Jiaqi Song, Xingqin Qi and Zhulou Cao
Symmetry 2023, 15(8), 1527; https://doi.org/10.3390/sym15081527 - 02 Aug 2023
Viewed by 784
Abstract
Graph burning was introduced to simulate the spreading of news/information/rumors in social networks. The symmetric undirected graph is considered here. That is, vertex u can spread the information to vertex v, and symmetrically vertex v can also spread information to vertex u [...] Read more.
Graph burning was introduced to simulate the spreading of news/information/rumors in social networks. The symmetric undirected graph is considered here. That is, vertex u can spread the information to vertex v, and symmetrically vertex v can also spread information to vertex u. When it is modeled as a graph burning process, a vertex can be set on fire directly or burned by its neighbor. Thus, the task is to find the minimum sequence of vertices chosen as sources of fire to burn the entire graph. This problem has been proved to be NP-hard. In this paper, from a new perspective, we introduce a generalized model called the Independent Cascade Graph Burning model, where a vertex v can be burned by one of its burning neighbors u only if the influence that u gives to v is larger than a given threshold β0. We determine the graph burning number with this new Independent Cascade Graph Burning model for several graphs and operation graphs and also discuss its upper and lower bounds. Full article
(This article belongs to the Special Issue Symmetry in Algorithmic Graph Theory and Interconnection Networks)
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10 pages, 586 KiB  
Article
Super-Connectivity of the Folded Locally Twisted Cube
by Lantao You, Yuejuan Han and Jianfeng Jiang
Symmetry 2023, 15(7), 1349; https://doi.org/10.3390/sym15071349 - 02 Jul 2023
Viewed by 727
Abstract
The hypercube Qn is one of the most popular interconnection networks with high symmetry. To reduce the diameter of Qn, many variants of Qn have been proposed, such as the n-dimensional locally twisted cube LTQn [...] Read more.
The hypercube Qn is one of the most popular interconnection networks with high symmetry. To reduce the diameter of Qn, many variants of Qn have been proposed, such as the n-dimensional locally twisted cube LTQn. To further optimize the diameter of LTQn, the n-dimensional folded locally twisted cube FLTQn is proposed, which is built based on LTQn by adding 2n1 complementary edges. Connectivity is an important indicator to measure the fault tolerance and reliability of a network. However, the connectivity has an obvious shortcoming, in that it assumes all the adjacent vertices of a vertex will fail at the same time. Super-connectivity is a more refined index to judge the fault tolerance of a network, which ensures that each vertex has at least one neighbor. In this paper, we show that the super-connectivity κ(1)(FLTQn)=2n for any integer n6, which is about twice κ(FLTQn). Full article
(This article belongs to the Special Issue Symmetry in Algorithmic Graph Theory and Interconnection Networks)
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