Topological Indices and Symmetry in Complex Networks

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

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 15087

Special Issue Editors


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Guest Editor
School of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China
Interests: graph theory; network optimization
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, China
Interests: graph theory; subgraph structure
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Topological graph indices, also called molecular descriptors, are numerical parameters of a graph that are invariant under graph isomorphisms. They play a significant role in chemistry, pharmacology, and physics, especially in the quantitative structure–property relationship (QSPR) and the quantitative structure–activity relationship (QSAR) investigations. Perhaps the best known and most widely used topological index is the Wiener index, which is based on the topological distance of vertices in the respective graph. It was introduced and used by Harold Wiener in 1947, which helped him to compare the boiling points of some alkane isomers. 

Nowadays, there are numerous topological indices (over 3000 topological graph indices are registered in Chemical Data Bases), which can be classified by the structural properties of the graphs used for their calculation. This research area is studied by mathematicians and chemists, and a series of mathematical properties and applications have been intensively studied over the last six decades. As such, topological graph indices are researched worldwide.  

Symmetry is a universe phenomenon in complex systems and applies the conservation lawsof nature. Many real networks have been found to have a rich degree of symmetry, which is a universal structural property of complex networks, yet have rarely been studied so far. Symmetry finds numerous applications in transportation, in communication network design, in production and inventory planning, in facility location and allocation, and in VLSI design. Many topological graph indices are metric indices for networks, which have extensive applications in centrality of networks, randomized algorithms, connectivity and robustness of networks, symmetry of networks and so on.

The aim of this Special Issue is to solicit original research articles focusing on topological graph indices and exploration of the origin of symmetry in real networks. We highly encourage submissions from researchers in the field of graph theory and complex networks. Review articles discussing the state of the art are also welcome.

Prof. Dr. Guifu Su
Dr. Junfeng Du
Guest Editors

Manuscript Submission Information

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Keywords

  • topological graph indices
  • spectral graph theory
  • graph parameters
  • combinatorics
  • complex networks
  • network optimization
  • network reliability
  • potential topics include but are not limited to those mentioned previously

Published Papers (9 papers)

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Research

16 pages, 358 KiB  
Article
Study on Structural Properties of Brain Networks Based on Independent Set Indices
by Anagha Puthanpurakkal and Selvakumar Ramachandran
Symmetry 2023, 15(5), 1032; https://doi.org/10.3390/sym15051032 - 6 May 2023
Viewed by 1098
Abstract
Studies of brain network organisation have swiftly adopted graph theory-based quantitative analysis of complicated networks. Small-world topology, densely connected hubs, and modularity characterise the brain’s structural and functional systems. Many measures quantify graph topology. It has not yet been determined which measurements are [...] Read more.
Studies of brain network organisation have swiftly adopted graph theory-based quantitative analysis of complicated networks. Small-world topology, densely connected hubs, and modularity characterise the brain’s structural and functional systems. Many measures quantify graph topology. It has not yet been determined which measurements are most appropriate for brain network analysis. This work introduces a new parameter applicable to brain network analysis. This parameter may help in the identification of symmetry and the study of symmetry breakdown in the brain. This is important because decreased symmetry in the brain is associated with a decreased chance of developing neurodevelopmental and psychiatric disorders. This work is to study brain networks using maximal independent set-based topological indices. These indices seem to depict significant properties of brain networks, such as clustering, small-worldness, etc. One new parameter introduced in this paper for brain network analysis depends on Zagreb topological indices and independence degree. This parameter is useful for analyzing clusters, rich clubs, small-worldness, and connectivity in modules. Full article
(This article belongs to the Special Issue Topological Indices and Symmetry in Complex Networks)
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13 pages, 746 KiB  
Article
Valency-Based Indices for Some Succinct Drugs by Using M-Polynomial
by Muhammad Usman Ghani, Francis Joseph H. Campena, K. Pattabiraman, Rashad Ismail, Hanen Karamti and Mohamad Nazri Husin
Symmetry 2023, 15(3), 603; https://doi.org/10.3390/sym15030603 - 27 Feb 2023
Cited by 15 | Viewed by 1672
Abstract
A topological index, which is a number, is connected to a graph. It is often used in chemometrics, biomedicine, and bioinformatics to anticipate various physicochemical properties and biological activities of compounds. The purpose of this article is to encourage original research focused on [...] Read more.
A topological index, which is a number, is connected to a graph. It is often used in chemometrics, biomedicine, and bioinformatics to anticipate various physicochemical properties and biological activities of compounds. The purpose of this article is to encourage original research focused on topological graph indices for the drugs azacitidine, decitabine, and guadecitabine as well as an investigation of the genesis of symmetry in actual networks. Symmetry is a universal phenomenon that applies nature’s conservation rules to complicated systems. Although symmetry is a ubiquitous structural characteristic of complex networks, it has only been seldom examined in real-world networks. The M¯-polynomial, one of these polynomials, is used to create a number of degree-based topological coindices. Patients with higher-risk myelodysplastic syndromes, chronic myelomonocytic leukemia, and acute myeloid leukemia who are not candidates for intense regimens, such as induction chemotherapy, are treated with these hypomethylating drugs. Examples of these drugs are decitabine (5-aza-20-deoxycytidine), guadecitabine, and azacitidine. The M¯-polynomial is used in this study to construct a variety of coindices for the three brief medicines that are suggested. New cancer therapies could be developed using indice knowledge, specifically the first Zagreb index, second Zagreb index, F-index, reformulated Zagreb index, modified Zagreb, symmetric division index, inverse sum index, harmonic index, and augmented Zagreb index for the drugs azacitidine, decitabine, and guadecitabine. Full article
(This article belongs to the Special Issue Topological Indices and Symmetry in Complex Networks)
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17 pages, 1118 KiB  
Article
Enumerating Subtrees of Flower and Sunflower Networks
by Long Li, Zongpu Jia, Yu Yang, Fengge Duan, Hailian Lv and Weiting Zhao
Symmetry 2023, 15(2), 284; https://doi.org/10.3390/sym15020284 - 19 Jan 2023
Viewed by 1280
Abstract
Symmetry widely exists in many complex and real-world networks, with flower networks and sunflower networks being two richly symmetric networks and having many practical applications due to their special structures. The number of subtrees (the subtree number index) is closely related to the [...] Read more.
Symmetry widely exists in many complex and real-world networks, with flower networks and sunflower networks being two richly symmetric networks and having many practical applications due to their special structures. The number of subtrees (the subtree number index) is closely related to the reliable network design. Using a generating function, structural analysis techniques, and auxiliary structure introduction, this paper presents the subtree generating functions of flower networks Fln,m(n3,m2) and sunflower networks Sfn,m(n3,m2) and, thus, solves the computation of subtree number indices of Fln,m(n3,m2) and Sfn,m(n3,m2). The results provide a fundamental and efficient method for exploring novel features of symmetric complex cyclic networks from the structural subtree number index perspective. For instance, we conclude that under some parameter constraints, the flower networks are more reliable than sunflower networks. Full article
(This article belongs to the Special Issue Topological Indices and Symmetry in Complex Networks)
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21 pages, 372 KiB  
Article
The Generalized Inverse Sum Indeg Index of Some Graph Operations
by Ying Wang, Sumaira Hafeez, Shehnaz Akhter, Zahid Iqbal and Adnan Aslam
Symmetry 2022, 14(11), 2349; https://doi.org/10.3390/sym14112349 - 8 Nov 2022
Cited by 3 | Viewed by 1431
Abstract
The study of networks and graphs carried out by topological measures performs a vital role in securing their hidden topologies. This strategy has been extremely used in biomedicine, cheminformatics and bioinformatics, where computations dependent on graph invariants have been made available to communicate [...] Read more.
The study of networks and graphs carried out by topological measures performs a vital role in securing their hidden topologies. This strategy has been extremely used in biomedicine, cheminformatics and bioinformatics, where computations dependent on graph invariants have been made available to communicate the various challenging tasks. In quantitative structure–activity (QSAR) and quantitative structure–property (QSPR) relationship studies, topological invariants are brought into practical action to associate the biological and physicochemical properties and pharmacological activities of materials and chemical compounds. In these studies, the degree-based topological invariants have found a significant position among the other descriptors due to the ease of their computing process and the speed with which these computations can be performed. Thereby, assessing these invariants is one of the flourishing lines of research. The generalized form of the degree-based inverse sum indeg index has recently been introduced. Many degree-based topological invariants can be derived from the generalized form of this index. In this paper, we provided the bounds related to this index for some graph operations, including the Kronecker product, join, corona product, Cartesian product, disjunction, and symmetric difference. We also presented the exact formula of this index for the disjoint union, linking, and splicing of graphs. Full article
(This article belongs to the Special Issue Topological Indices and Symmetry in Complex Networks)
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16 pages, 355 KiB  
Article
On the Topological Indices of Commuting Graphs for Finite Non-Abelian Groups
by Fawad Ali, Bilal A. Rather, Nahid Fatima, Muhammad Sarfraz, Asad Ullah, Khalid Abdulkhaliq M. Alharbi and Rahim Dad
Symmetry 2022, 14(6), 1266; https://doi.org/10.3390/sym14061266 - 19 Jun 2022
Cited by 13 | Viewed by 1966
Abstract
A topological index is a number generated from a molecular structure (i.e., a graph) that indicates the essential structural properties of the proposed molecule. Indeed, it is an algebraic quantity connected with the chemical structure that correlates it with various physical characteristics. It [...] Read more.
A topological index is a number generated from a molecular structure (i.e., a graph) that indicates the essential structural properties of the proposed molecule. Indeed, it is an algebraic quantity connected with the chemical structure that correlates it with various physical characteristics. It is possible to determine several different properties, such as chemical activity, thermodynamic properties, physicochemical activity, and biological activity, using several topological indices, such as the geometric-arithmetic index, arithmetic-geometric index, Randić index, and the atom-bond connectivity indices. Consider G as a group and H as a non-empty subset of G. The commuting graph C(G,H), has H as the vertex set, where h1,h2H are edge connected whenever h1 and h2 commute in G. This article examines the topological characteristics of commuting graphs having an algebraic structure by computing their atomic-bond connectivity index, the Wiener index and its reciprocal, the harmonic index, geometric-arithmetic index, Randić index, Harary index, and the Schultz molecular topological index. Moreover, we study the Hosoya properties, such as the Hosoya polynomial and the reciprocal statuses of the Hosoya polynomial of the commuting graphs of finite subgroups of SL(2,C). Finally, we compute the Z-index of the commuting graphs of the binary dihedral groups. Full article
(This article belongs to the Special Issue Topological Indices and Symmetry in Complex Networks)
32 pages, 530 KiB  
Article
Forbidden Pairs of Disconnected Graphs for Traceability of Block-Chains
by Wanpeng Lei, Liming Xiong, Junfeng Du and Jun Yin
Symmetry 2022, 14(6), 1221; https://doi.org/10.3390/sym14061221 - 13 Jun 2022
Viewed by 1508
Abstract
Each traceable graph must be a block-chain; however, a block-chain is not necessarily traceable in general. Whether a given graph is a block-chain or not can be easily verified by a polynomial algorithm. It occurs to us that forbidden subgraph conditions for a [...] Read more.
Each traceable graph must be a block-chain; however, a block-chain is not necessarily traceable in general. Whether a given graph is a block-chain or not can be easily verified by a polynomial algorithm. It occurs to us that forbidden subgraph conditions for a block-chain are traceable. In this article, we characterize all pairs of disconnected forbidden subgraphs for the traceability of block-chains, so as to completely solve pairs of forbidden subgraphs for the traceability of block-chains (including disconnected and connected). Full article
(This article belongs to the Special Issue Topological Indices and Symmetry in Complex Networks)
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10 pages, 364 KiB  
Article
On Spectral Characterization of Two Classes of Unicycle Graphs
by Jun Yin, Haixing Zhao, Xiujuan Ma and Jing Liang
Symmetry 2022, 14(6), 1213; https://doi.org/10.3390/sym14061213 - 12 Jun 2022
Cited by 1 | Viewed by 1255
Abstract
Let G be a graph with n vertices, let A(G) be an adjacency matrix of G and let PA(G,λ) be the characteristic polynomial of A(G). The adjacency spectrum of G [...] Read more.
Let G be a graph with n vertices, let A(G) be an adjacency matrix of G and let PA(G,λ) be the characteristic polynomial of A(G). The adjacency spectrum of G consists of eigenvalues of A(G). A graph G is said to be determined by its adjacency spectrum (DS for short) if other graphs with the same adjacency spectrum as G are isomorphic to G. In this paper, we investigate the spectral characterization of unicycle graphs with only two vertices of degree three. We use G21(s1,s2) to denote the graph obtained from Q(s1,s2) by identifying its pendant vertex and the vertex of degree two of P3, where Q(s1,s2) is the graph obtained by identifying a vertex of Cs1 and a pendant vertex of Ps2. We use G31(t1,t2) to denote the graph obtained from circle with the vertices v0v1vt1+t2+1 by adding one pendant edge at vertices v0 and vt1+1, respectively. It is shown that G21(s1,s2) (s14,6, s13, s23) and G31(t1,t2) (t1+t22, t2t11) are determined by their adjacency spectrum. Full article
(This article belongs to the Special Issue Topological Indices and Symmetry in Complex Networks)
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12 pages, 279 KiB  
Article
A Complete Characterization of Bidegreed Split Graphs with Four Distinct α-Eigenvalues
by Guifu Su, Guanbang Song, Jun Yin and Junfeng Du
Symmetry 2022, 14(5), 899; https://doi.org/10.3390/sym14050899 - 28 Apr 2022
Cited by 1 | Viewed by 1414
Abstract
It is a well-known fact that a graph of diameter d has at least d+1 eigenvalues. A graph is d-extremal (resp. dα-extremal) if it has diameter d and exactly d+1 distinct eigenvalues (resp. α-eigenvalues), and [...] Read more.
It is a well-known fact that a graph of diameter d has at least d+1 eigenvalues. A graph is d-extremal (resp. dα-extremal) if it has diameter d and exactly d+1 distinct eigenvalues (resp. α-eigenvalues), and a graph is split if its vertex set can be partitioned into a clique and a stable set. Such graphs have a diameter of at most three. If all vertex degrees in a split graph are either d˜ or d^, then we say it is (d˜,d^)-bidegreed. In this paper, we present a complete classification of the connected bidegreed 3α-extremal split graphs using the association of split graphs with combinatorial designs. This result is a natural generalization of Theorem 4.6 proved by Goldberg et al. and Proposition 3.8 proved by Song et al., respectively. Full article
(This article belongs to the Special Issue Topological Indices and Symmetry in Complex Networks)
8 pages, 294 KiB  
Article
Super Vertex (Edge)-Connectivity of Varietal Hypercube
by Zhecheng Yu, Liqiong Xu, Shanshan Yin and Litao Guo
Symmetry 2022, 14(2), 304; https://doi.org/10.3390/sym14020304 - 2 Feb 2022
Cited by 6 | Viewed by 1482
Abstract
The reliability measure of networks is of significant importance to the design and maintenance of networks. Based on connectivity, many refined quantitative indicators for the reliability of network systems have been introduced. The super vertex edge-connectivity and cyclic edge-connectivity, as important parameters to [...] Read more.
The reliability measure of networks is of significant importance to the design and maintenance of networks. Based on connectivity, many refined quantitative indicators for the reliability of network systems have been introduced. The super vertex edge-connectivity and cyclic edge-connectivity, as important parameters to evaluate the robustness of networks, are explored extensively. As a variant of the hypercube Qn, the varietal hypercube VQn has better properties than Qn with the same number of edges and vertices. Wang and Xu have proved that VQn is super vertex-connected for n1 and is also super edge-connected if n2. In this paper, we use another method to prove these results. Moreover, we also obtain the super restricted connectivity and the cyclic edge-connectivity of the varietal hypercube VQn. Full article
(This article belongs to the Special Issue Topological Indices and Symmetry in Complex Networks)
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