9 research outputs found

    On the super connectivity of Kronecker products of graphs

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    In this paper we present the super connectivity of Kronecker product of a general graph and a complete graph.Comment: 8 page

    On the diameter of the Kronecker product graph

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    Let G1G_1 and G2G_2 be two undirected nontrivial graphs. The Kronecker product of G1G_1 and G2G_2 denoted by G1⊗G2G_1\otimes G_2 with vertex set V(G1)×V(G2)V(G_1)\times V(G_2), two vertices x1x2x_1x_2 and y1y2y_1y_2 are adjacent if and only if (x1,y1)∈E(G1)(x_1,y_1)\in E(G_1) and (x2,y2)∈E(G2)(x_2,y_2)\in E(G_2). This paper presents a formula for computing the diameter of G1⊗G2G_1\otimes G_2 by means of the diameters and primitive exponents of factor graphs.Comment: 9 pages, 18 reference

    Every property is testable on a natural class of scale-free multigraphs

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    In this paper, we introduce a natural class of multigraphs called hierarchical-scale-free (HSF) multigraphs, and consider constant-time testability on the class. We show that a very wide subclass, specifically, that in which the power-law exponent is greater than two, of HSF is hyperfinite. Based on this result, an algorithm for a deterministic partitioning oracle can be constructed. We conclude by showing that every property is constant-time testable on the above subclass of HSF. This algorithm utilizes findings by Newman and Sohler of STOC'11. However, their algorithm is based on the bounded-degree model, while it is known that actual scale-free networks usually include hubs, which have a very large degree. HSF is based on scale-free properties and includes such hubs. This is the first universal result of constant-time testability on the general graph model, and it has the potential to be applicable on a very wide range of scale-free networks.Comment: 13 pages, one figure. Difference from ver. 1: Definitions of HSF and SF become more general. Typos were fixe

    Connectivity of Kronecker products by K2

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    Let κ(G)\kappa(G) be the connectivity of GG. The Kronecker product G1×G2G_1\times G_2 of graphs G1G_1 and G2G_2 has vertex set V(G1×G2)=V(G1)×V(G2)V(G_1\times G_2)=V(G_1)\times V(G_2) and edge set E(G1×G2)={(u1,v1)(u2,v2):u1u2∈E(G1),v1v2∈E(G2)}E(G_1\times G_2)=\{(u_1,v_1)(u_2,v_2):u_1u_2\in E(G_1),v_1v_2\in E(G_2)\}. In this paper, we prove that κ(G×K2)=min{2κ(G),min{∣X∣+2∣Y∣}}\kappa(G\times K_2)=\textup{min}\{2\kappa(G), \textup{min}\{|X|+2|Y|\}\}, where the second minimum is taken over all disjoint sets X,Y⊆V(G)X,Y\subseteq V(G) satisfying (1)G−(X∪Y)G-(X\cup Y) has a bipartite component CC, and (2) G[V(C)∪{x}]G[V(C)\cup \{x\}] is also bipartite for each x∈Xx\in X.Comment: 6 page

    KONEKTIVITAS-TITIK HASIL KALI KRONECKER DUA GRAF

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    Misalkan dan dua buah graf. Hasil kali kronecker dan , dilambangkan dengan , adalah graf dengan himpunan titik dan himpunan sisi dan . Konektivitas-titik graf atau adalah minimum banyaknya titik yang harus dihapus agar graf yang baru tak terhubung atau graf trivial. Konektivitas-titik super dari graf , dilambangkan dengan , adalah minimum banyak titik yang dihapus agar graf yang baru tak terhubung dan tidak memuat titik terasing. Jelas bahwa jika graf tak terhubung, maka . Penentuan nilai eksak konektivitas-titik dan konektivitas-titik super hasil kali kronecker dua graf secara umum merupakan permasalahan yang sulit. Dalam artikel ini akan ditunjukkan bahwa , jika dan . Begitu juga, akan ditunjukan , jika graf bipartit dengan dan . Dan ditunjukan juga bahwa , jika dan . Akhirnya, dibuktikan bahwa , jika , , dan . Pembahasan ini akan diawali dengan pembuktian bahwa perkalian kronecker dua graf terhubung merupakan graf terhubung jika dan hanya jika salah satu dari kedua graf tersebut memuat sikel ganjil. Kata Kunci: konektivitas-titik hasil kali kronecker dua graf, konektivitas-titik super hasil kali kronecker dua graf untuk beberapa kelas graf tertentu

    Kronecker Product of Tensors and Hypergraphs: Structure and Dynamics

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    Hypergraphs and graph products extend traditional graph theory by incorporating multi-way and coupled relationships, which are ubiquitous in real-world systems. While the Kronecker product, rooted in matrix analysis, has become a powerful tool in network science, its application has been limited to pairwise networks. In this paper, we extend the coupling of graph products to hypergraphs, enabling a system-theoretic analysis of network compositions formed via the Kronecker product of hypergraphs. We first extend the notion of the matrix Kronecker product to the tensor Kronecker product from the perspective of tensor blocks. We present various algebraic and spectral properties and express different tensor decompositions with the tensor Kronecker product. Furthermore, we study the structure and dynamics of Kronecker hypergraphs based on the tensor Kronecker product. We establish conditions that enable the analysis of the trajectory and stability of a hypergraph dynamical system by examining the dynamics of its factor hypergraphs. Finally, we demonstrate the numerical advantage of this framework for computing various tensor decompositions and spectral properties.Comment: 29 pages, 4 figures, 2 table

    Kronecker Graphs: An Approach to Modeling Networks

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    How can we model networks with a mathematically tractable model that allows for rigorous analysis of network properties? Networks exhibit a long list of surprising properties: heavy tails for the degree distribution; small diameters; and densification and shrinking diameters over time. Most present network models either fail to match several of the above properties, are complicated to analyze mathematically, or both. In this paper we propose a generative model for networks that is both mathematically tractable and can generate networks that have the above mentioned properties. Our main idea is to use the Kronecker product to generate graphs that we refer to as "Kronecker graphs". First, we prove that Kronecker graphs naturally obey common network properties. We also provide empirical evidence showing that Kronecker graphs can effectively model the structure of real networks. We then present KronFit, a fast and scalable algorithm for fitting the Kronecker graph generation model to large real networks. A naive approach to fitting would take super- exponential time. In contrast, KronFit takes linear time, by exploiting the structure of Kronecker matrix multiplication and by using statistical simulation techniques. Experiments on large real and synthetic networks show that KronFit finds accurate parameters that indeed very well mimic the properties of target networks. Once fitted, the model parameters can be used to gain insights about the network structure, and the resulting synthetic graphs can be used for null- models, anonymization, extrapolations, and graph summarization

    On the structure of graphs without short cycles

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    The objective of this thesis is to study cages, constructions and properties of such families of graphs. For this, the study of graphs without short cycles plays a fundamental role in order to develop some knowledge on their structure, so we can later deal with the problems on cages. Cages were introduced by Tutte in 1947. In 1963, Erdös and Sachs proved that (k, g) -cages exist for any given values of k and g. Since then, large amount of research in cages has been devoted to their construction. In this work we study structural properties such as the connectivity, diameter, and degree regularity of graphs without short cycles. In some sense, connectivity is a measure of the reliability of a network. Two graphs with the same edge-connectivity, may be considered to have different reliabilities, as a more refined index than the edge-connectivity, edge-superconnectivity is proposed together with some other parameters called restricted connectivities. By relaxing the conditions that are imposed for the graphs to be cages, we can achieve more refined connectivity properties on these families and also we have an approach to structural properties of the family of graphs with more restrictions (i.e., the cages). Our aim, by studying such structural properties of cages is to get a deeper insight into their structure so we can attack the problem of their construction. By way of example, we studied a condition on the diameter in relation to the girth pair of a graph, and as a corollary we obtained a result guaranteeing restricted connectivity of a special family of graphs arising from geometry, such as polarity graphs. Also, we obtained a result proving the edge superconnectivity of semiregular cages. Based on these studies it was possible to develop the study of cages. Therefore obtaining a relevant result with respect to the connectivity of cages, that is, cages are k/2-connected. And also arising from the previous work on girth pairs we obtained constructions for girth pair cages that proves a bound conjectured by Harary and Kovács, relating the order of girth pair cages with the one for cages. Concerning the degree and the diameter, there is the concept of a Moore graph, it was introduced by Hoffman and Singleton after Edward F. Moore, who posed the question of describing and classifying these graphs. As well as having the maximum possible number of vertices for a given combination of degree and diameter, Moore graphs have the minimum possible number of vertices for a regular graph with given degree and girth. That is, any Moore graph is a cage. The formula for the number of vertices in a Moore graph can be generalized to allow a definition of Moore graphs with even girth (bipartite Moore graphs) as well as odd girth, and again these graphs are cages. Thus, Moore graphs give a lower bound for the order of cages, but they are known to exist only for very specific values of k, therefore it is interesting to study how far a cage is from this bound, this value is called the excess of a cage. We studied the excess of graphs and give a contribution, in the sense of the work of Biggs and Ito, relating the bipartition of girth 6 cages with their orders. Entire families of cages can be obtained from finite geometries, for example, the graphs of incidence of projective planes of order q a prime power, are (q+1, 6)-cages. Also by using other incidence structures such as the generalized quadrangles or generalized hexagons, it can be obtained families of cages of girths 8 and 12. In this thesis, we present a construction of an entire family of girth 7 cages that arises from some combinatorial properties of the incidence graphs of generalized quadrangles of order (q,q)

    Some remarks on the kronecker product of graphs

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    International audienceThis note is concerned with the Kronecker product of graphs; we give some properties linked to graph minors, planarity, cut vertex and cut edge
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