Characterization of Line Graphs
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Beta Current Flow Centrality for Weighted Networks Konstantin Avrachenkov, Vladimir Mazalov, Bulat Tsynguev
Beta Current Flow Centrality for Weighted Networks Konstantin Avrachenkov, Vladimir Mazalov, Bulat Tsynguev To cite this version: Konstantin Avrachenkov, Vladimir Mazalov, Bulat Tsynguev. Beta Current Flow Centrality for Weighted Networks. 4th International Conference on Computational Social Networks (CSoNet 2015), Aug 2015, Beijing, China. pp.216-227, 10.1007/978-3-319-21786-4_19. hal-01258658 HAL Id: hal-01258658 https://hal.inria.fr/hal-01258658 Submitted on 19 Jan 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Beta Current Flow Centrality for Weighted Networks Konstantin E. Avrachenkov1, Vladimir V. Mazalov2, Bulat T. Tsynguev3 1 INRIA, 2004 Route des Lucioles, Sophia-Antipolis, France [email protected] 2 Institute of Applied Mathematical Research, Karelian Research Center, Russian Academy of Sciences, 11, Pushkinskaya st., Petrozavodsk, Russia, 185910 [email protected] 3 Transbaikal State University, 30, Aleksandro-Zavodskaya st., Chita, Russia, 672039 [email protected] Abstract. Betweenness centrality is one of the basic concepts in the analysis of social networks. Initial definition for the betweenness of a node in a graph is based on the fraction of the number of geodesics (shortest paths) between any two nodes that given node lies on, to the total number of the shortest paths connecting these nodes. -
General Approach to Line Graphs of Graphs 1
DEMONSTRATIO MATHEMATICA Vol. XVII! No 2 1985 Antoni Marczyk, Zdzislaw Skupien GENERAL APPROACH TO LINE GRAPHS OF GRAPHS 1. Introduction A unified approach to the notion of a line graph of general graphs is adopted and proofs of theorems announced in [6] are presented. Those theorems characterize five different types of line graphs. Both Krausz-type and forbidden induced sub- graph characterizations are provided. So far other authors introduced and dealt with single spe- cial notions of a line graph of graphs possibly belonging to a special subclass of graphs. In particular, the notion of a simple line graph of a simple graph is implied by a paper of Whitney (1932). Since then it has been repeatedly introduc- ed, rediscovered and generalized by many authors, among them are Krausz (1943), Izbicki (1960$ a special line graph of a general graph), Sabidussi (1961) a simple line graph of a loop-free graph), Menon (1967} adjoint graph of a general graph) and Schwartz (1969; interchange graph which coincides with our line graph defined below). In this paper we follow another way, originated in our previous work [6]. Namely, we distinguish special subclasses of general graphs and consider five different types of line graphs each of which is defined in a natural way. Note that a similar approach to the notion of a line graph of hypergraphs can be adopted. We consider here the following line graphsi line graphs, loop-free line graphs, simple line graphs, as well as augmented line graphs and augmented loop-free line graphs. - 447 - 2 A. Marczyk, Z. -
The Veldkamp Space of GQ(2,4) Metod Saniga, Richard Green, Peter Levay, Petr Pracna, Peter Vrana
The Veldkamp Space of GQ(2,4) Metod Saniga, Richard Green, Peter Levay, Petr Pracna, Peter Vrana To cite this version: Metod Saniga, Richard Green, Peter Levay, Petr Pracna, Peter Vrana. The Veldkamp Space of GQ(2,4). International Journal of Geometric Methods in Modern Physics, World Scientific Publishing, 2010, pp.1133-1145. 10.1142/S0219887810004762. hal-00365656v2 HAL Id: hal-00365656 https://hal.archives-ouvertes.fr/hal-00365656v2 Submitted on 6 Jul 2009 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The Veldkamp Space of GQ(2,4) M. Saniga,1 R. M. Green,2 P. L´evay,3 P. Pracna4 and P. Vrana3 1Astronomical Institute, Slovak Academy of Sciences SK-05960 Tatransk´aLomnica, Slovak Republic ([email protected]) 2Department of Mathematics, University of Colorado Campus Box 395, Boulder CO 80309-0395, U. S. A. ([email protected]) 3Department of Theoretical Physics, Institute of Physics Budapest University of Technology and Economics, H-1521 Budapest, Hungary ([email protected] and [email protected]) and 4J. Heyrovsk´yInstitute of Physical Chemistry, v.v.i., Academy of Sciences of the Czech Republic, Dolejˇskova 3, CZ-182 23 Prague 8, Czech Republic ([email protected]) (6 July 2009) Abstract It is shown that the Veldkamp space of the unique generalized quadrangle GQ(2,4) is isomor- phic to PG(5,2). -
Some Topics Concerning Graphs, Signed Graphs and Matroids
SOME TOPICS CONCERNING GRAPHS, SIGNED GRAPHS AND MATROIDS DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of the Ohio State University By Vaidyanathan Sivaraman, M.S. Graduate Program in Mathematics The Ohio State University 2012 Dissertation Committee: Prof. Neil Robertson, Advisor Prof. Akos´ Seress Prof. Matthew Kahle ABSTRACT We discuss well-quasi-ordering in graphs and signed graphs, giving two short proofs of the bounded case of S. B. Rao's conjecture. We give a characterization of graphs whose bicircular matroids are signed-graphic, thus generalizing a theorem of Matthews from the 1970s. We prove a recent conjecture of Zaslavsky on the equality of frus- tration number and frustration index in a certain class of signed graphs. We prove that there are exactly seven signed Heawood graphs, up to switching isomorphism. We present a computational approach to an interesting conjecture of D. J. A. Welsh on the number of bases of matroids. We then move on to study the frame matroids of signed graphs, giving explicit signed-graphic representations of certain families of matroids. We also discuss the cycle, bicircular and even-cycle matroid of a graph and characterize matroids arising as two different such structures. We study graphs in which any two vertices have the same number of common neighbors, giving a quick proof of Shrikhande's theorem. We provide a solution to a problem of E. W. Dijkstra. Also, we discuss the flexibility of graphs on the projective plane. We conclude by men- tioning partial progress towards characterizing signed graphs whose frame matroids are transversal, and some miscellaneous results. -
Lattices from Group Frames and Vertex Transitive Graphs
Frames Lattices Graphs Examples Lattices from group frames and vertex transitive graphs Lenny Fukshansky Claremont McKenna College (joint work with Deanna Needell, Josiah Park and Jessie Xin) Tight frame F is rational if there exists a real number α so that αpf i ; f j q P Q @ 1 ¤ i; j ¤ n: Frames Lattices Graphs Examples Tight frames k A spanning set tf 1;:::; f nu Ă R , n ¥ k, is called a tight frame k if there exists a real constant γ such that for every x P R , n 2 2 }x} “ γ px; f j q ; j“1 ¸ where p ; q stands for the usual dot-product. Frames Lattices Graphs Examples Tight frames k A spanning set tf 1;:::; f nu Ă R , n ¥ k, is called a tight frame k if there exists a real constant γ such that for every x P R , n 2 2 }x} “ γ px; f j q ; j“1 ¸ where p ; q stands for the usual dot-product. Tight frame F is rational if there exists a real number α so that αpf i ; f j q P Q @ 1 ¤ i; j ¤ n: k Let f P R be a nonzero vector, then Gf “ tUf : U P Gu k is called a group frame (or G-frame). If G acts irreducibly on R , Gf is called an irreducible group frame. Irreducible group frames are always tight. Frames Lattices Graphs Examples Group frames Let G be a finite subgroup of Ok pRq, the k-dimensional real orthog- k onal group, then G acts on R by left matrix multiplication. -
P2k-Factorization of Complete Bipartite Multigraphs
P2k-factorization of complete bipartite multigraphs Beiliang Du Department of Mathematics Suzhou University Suzhou 215006 People's Republic of China Abstract We show that a necessary and sufficient condition for the existence of a P2k-factorization of the complete bipartite- multigraph )"Km,n is m = n == 0 (mod k(2k - l)/d), where d = gcd()", 2k - 1). 1. Introduction Let Km,n be the complete bipartite graph with two partite sets having m and n vertices respectively. The graph )"Km,n is the disjoint union of ).. graphs each isomorphic to Km,n' A subgraph F of )"Km,n is called a spanning subgraph of )"Km,n if F contains all the vertices of )"Km,n' It is clear that a graph with no isolated vertices is uniquely determined by the set of its edges. So in this paper, we consider a graph with no isolated vertices to be a set of 2-element subsets of its vertices. For positive integer k, a path on k vertices is denoted by Pk. A Pk-factor of )'Km,n is a spanning subgraph F of )"Km,n such that every component of F is a Pk and every pair of Pk's have no vertex in common. A Pk-factorization of )"Km,n is a set of edge-disjoint Pk-factors of )"Km,n which is a partition of the set of edges of )'Km,n' (In paper [4] a Pk-factorization of )"Km,n is defined to be a resolvable (m, n, k,)..) bipartite Pk design.) The multigraph )"Km,n is called Ph-factorable whenever it has a Ph-factorization. -
Trees and Graphs
Module 8: Trees and Graphs Theme 1: Basic Properties of Trees A (rooted) tree is a finite set of nodes such that ¯ there is a specially designated node called the root. ¯ d Ì ;Ì ;::: ;Ì ½ ¾ the remaining nodes are partitioned into disjoint sets d such that each of these Ì ;Ì ;::: ;Ì d ½ ¾ sets is a tree. The sets d are called subtrees,and the degree of the root. The above is an example of a recursive definition, as we have already seen in previous modules. A Ì Ì Ì B C ¾ ¿ Example 1: In Figure 1 we show a tree rooted at with three subtrees ½ , and rooted at , and D , respectively. We now introduce some terminology for trees: ¯ A tree consists of nodes or vertices that store information and often are labeled by a number or a letter. In Figure 1 the nodes are labeled as A;B;:::;Å. ¯ An edge is an unordered pair of nodes (usually denoted as a segment connecting two nodes). A; B µ For example, ´ is an edge in Figure 1. A ¯ The number of subtrees of a node is called its degree. For example, node is of degree three, while node E is of degree two. The maximum degree of all nodes is called the degree of the tree. Ã ; Ä; F ; G; Å ; Á Â ¯ A leaf or a terminal node is a node of degree zero. Nodes and are leaves in Figure 1. B ¯ A node that is not a leaf is called an interior node or an internal node (e.g., see nodes and D ). -
Sphere-Cut Decompositions and Dominating Sets in Planar Graphs
Sphere-cut Decompositions and Dominating Sets in Planar Graphs Michalis Samaris R.N. 201314 Scientific committee: Dimitrios M. Thilikos, Professor, Dep. of Mathematics, National and Kapodistrian University of Athens. Supervisor: Stavros G. Kolliopoulos, Dimitrios M. Thilikos, Associate Professor, Professor, Dep. of Informatics and Dep. of Mathematics, National and Telecommunications, National and Kapodistrian University of Athens. Kapodistrian University of Athens. white Lefteris M. Kirousis, Professor, Dep. of Mathematics, National and Kapodistrian University of Athens. Aposunjèseic sfairik¸n tom¸n kai σύνοla kuriarqÐac se epÐpeda γραφήματa Miχάλης Σάμαρης A.M. 201314 Τριμελής Epiτροπή: Δημήτρioc M. Jhlυκός, Epiblèpwn: Kajhγητής, Tm. Majhmatik¸n, E.K.P.A. Δημήτρioc M. Jhlυκός, Staύρoc G. Kolliόποuloc, Kajhγητής tou Τμήμatoc Anaπληρωτής Kajhγητής, Tm. Plhroforiκής Majhmatik¸n tou PanepisthmÐou kai Thl/ni¸n, E.K.P.A. Ajhn¸n Leutèrhc M. Kuroύσης, white Kajhγητής, Tm. Majhmatik¸n, E.K.P.A. PerÐlhyh 'Ena σημαντικό apotèlesma sth JewrÐa Γραφημάτwn apoteleÐ h apόdeixh thc eikasÐac tou Wagner από touc Neil Robertson kai Paul D. Seymour. sth σειρά ergasi¸n ‘Ελλάσσοna Γραφήματα’ apo to 1983 e¸c to 2011. H eikasÐa αυτή lèei όti sthn κλάση twn γραφημάtwn den υπάρχει άπειρη antialusÐda ¸c proc th sqèsh twn ελλασόnwn γραφημάτwn. H JewrÐa pou αναπτύχθηκε gia thn απόδειξη αυτής thc eikasÐac eÐqe kai èqei ακόμα σημαντικό antÐktupo tόσο sthn δομική όσο kai sthn algoriθμική JewrÐa Γραφημάτwn, άλλα kai se άλλα pedÐa όπως h Παραμετρική Poλυπλοκόthta. Sta πλάιsia thc απόδειξης oi suggrafeÐc eiσήγαγαν kai nèec paramètrouc πλά- touc. Se autèc ήτan h κλαδοαποσύνθεση kai to κλαδοπλάτoc ενός γραφήματoc. H παράμετρος αυτή χρησιμοποιήθηκε idiaÐtera sto σχεδιασμό algorÐjmwn kai sthn χρήση thc τεχνικής ‘διαίρει kai basÐleue’. -
Modeling Multiple Relationships in Social Networks
Asim AnsAri, Oded KOenigsberg, and FlOriAn stAhl * Firms are increasingly seeking to harness the potential of social networks for marketing purposes. therefore, marketers are interested in understanding the antecedents and consequences of relationship formation within networks and in predicting interactivity among users. the authors develop an integrated statistical framework for simultaneously modeling the connectivity structure of multiple relationships of different types on a common set of actors. their modeling approach incorporates several distinct facets to capture both the determinants of relationships and the structural characteristics of multiplex and sequential networks. they develop hierarchical bayesian methods for estimation and illustrate their model with two applications: the first application uses a sequential network of communications among managers involved in new product development activities, and the second uses an online collaborative social network of musicians. the authors’ applications demonstrate the benefits of modeling multiple relations jointly for both substantive and predictive purposes. they also illustrate how information in one relationship can be leveraged to predict connectivity in another relation. Keywords : social networks, online networks, bayesian, multiple relationships, sequential relationships modeling multiple relationships in social networks The rapid growth of online social networks has led to a social commerce (Stephen and Toubia 2010; Van den Bulte resurgence of interest in the marketing -
The Extendability of Matchings in Strongly Regular Graphs
The extendability of matchings in strongly regular graphs Sebastian M. Cioab˘a∗ Weiqiang Li Department of Mathematical Sciences Department of Mathematical Sciences University of Delaware University of Delaware Newark, DE 19707-2553, U.S.A. Newark, DE 19707-2553, U.S.A. [email protected] [email protected] Submitted: Feb 25, 2014; Accepted: Apr 29, 2014; Published: May 13, 2014 Mathematics Subject Classifications: 05E30, 05C50, 05C70 Abstract A graph G of even order v is called t-extendable if it contains a perfect matching, t < v=2 and any matching of t edges is contained in some perfect matching. The extendability of G is the maximum t such that G is t-extendable. In this paper, we study the extendability properties of strongly regular graphs. We improve previous results and classify all strongly regular graphs that are not 3-extendable. We also show that strongly regular graphs of valency k > 3 with λ > 1 are bk=3c-extendable k+1 (when µ 6 k=2) and d 4 e-extendable (when µ > k=2), where λ is the number of common neighbors of any two adjacent vertices and µ is the number of common neighbors of any two non-adjacent vertices. Our results are close to being best pos- sible as there are strongly regular graphs of valency k that are not dk=2e-extendable. We show that the extendability of many strongly regular graphs of valency k is at least dk=2e − 1 and we conjecture that this is true for all primitive strongly regular graphs. We obtain similar results for strongly regular graphs of odd order. -
Use the K-Neighborhood Subgraphs to Compute Canonical Labelings of Graphs
mathematics Article Use the K-Neighborhood Subgraphs to Compute Canonical Labelings of Graphs Jianqiang Hao 1,*, Yunzhan Gong 2, Jianzhi Sun 1 and Li Tan 1 1 Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, No. 11, Fu Cheng Road, Beijing 100048, China 2 State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, No 10, Xitucheng Road, Haidian District, Beijing 100876, China * Correspondence: [email protected]; Tel.: +86-10-6898-5704 Received: 5 July 2019; Accepted: 27 July 2019; Published: 31 July 2019 Abstract: This paper puts forward an innovative theory and method to calculate the canonical labelings of graphs that are distinct to Nauty’s. It shows the correlation between the canonical labeling of a graph and the canonical labeling of its complement graph. It regularly examines the link between computing the canonical labeling of a graph and the canonical labeling of its open k-neighborhood subgraph . It defines dif fusion degree sequences and entire dif fusion degree sequence . For each node of a graph G, it designs a characteristic m_NearestNode to improve the precision for calculating canonical labeling. Two theorems established here display how to compute the first nodes of MaxQ(G). Another theorem presents how to determine the second nodes of MaxQ(G). When computing Cmax(G), if MaxQ(G) already holds the first i nodes u1, u2, ··· , ui, Diffusion and Nearest Node theorems provide skill on how to pick the succeeding node of MaxQ(G). Further, it also establishes two theorems to determine the Cmax(G) of disconnected graphs. -
The Chromatic Index of Nearly Bipartite Multigraphs
JOURNAL OF COMBINATORIAL THEORY, Series B 40, 71-80 (1986) The Chromatic Index of Nearly Bipartite Multigraphs LARRY EGGAN AND MICHAEL PLANTHOLT Department of Mathematics, Illinois State University Normal, Illinois 61761 Communicated by the Editors Received January 5, 1984 We determine the chromatic index of any multigraph which contains a vertex whose deletion results in a bipartite multigraph. 0 1986Academic Press, Inc. 1. INTRODUCTION We denote the vertex and edge sets of a multigraph M by v(M) and E(M), respectively. An (edge) coloring of a multigraph is an assignment of colors to its edges in such a way that no two adjacent edges are assigned the same color. The chromatic index x’(M) of a multigraph M is the minimum number of colors used among all possible colorings of A4. Shan- non [ 13) proved that for any multigraph A4 with maximum degree d(M), d(M) <X’(M) d 1. d(M), while Vizing’s theorem [14] states that the chromatic index of a (simple) graph G is either d(G) or d(G) + 1. Although the general problem of determining the chromatic index of a graph (and therefore of multigraphs) is NP-complete (Holyer [6]), some good results have been obtained by considering special families of graphs of multigraphs where the x’ invariant behaves more predictably. For any multigraph A4, let t(M) = max,(2 IE(H)(/( 1V(H)1 - l)>, where the maximum is taken over all induced submultigraphs of A4 which have an odd number of vertices, and let 4(M) = max{d(M), [t(M)]).