92 research outputs found
Niche hypergraphs
If D = (V,A) is a digraph, its niche hypergraph Nℋ(D) = (V, ℰ) has the edge set ℰ = {ℯ ⊆ V | |e| ≥ 2 ∧ ∃ v ∈ V : e = ND-(v) ∨ ℯ = ND+(v)}. Niche hypergraphs generalize the well-known niche graphs (see [11]) and are closely related to competition hypergraphs (see [40]) as well as double competition hypergraphs (see [33]). We present several properties of niche hypergraphs of acyclic digraphs
The competition hypergraphs of doubly partial orders
Since Cho and Kim (2005) showed that the competition graph of a doubly
partial order is an interval graph, it has been actively studied whether or not
the same phenomenon occurs for other variants of competition graph and
interesting results have been obtained. Continuing in the same spirit, we study
the competition hypergraph, an interesting variant of the competition graph, of
a doubly partial order. Though it turns out that the competition hypergraph of
a doubly partial order is not always interval, we completely characterize the
competition hypergraphs of doubly partial orders which are interval.Comment: 12 pages, 6 figure
An algorithm to compute the strength of competing interactions in the Bering Sea based on pythagorean fuzzy hypergraphs
[EN] The networks of various problems have competing constituents, and there is a concern to compute the strength of competition among these entities. Competition hypergraphs capture all groups of predators that are competing in a community through their hyperedges. This paper reintroduces competition hypergraphs in the context of Pythagorean fuzzy set theory, thereby producing Pythagorean fuzzy competition hypergraphs. The data of real-world ecological systems posses uncertainty, and the proposed hypergraphs can efficiently deal with such information to model wide range of competing interactions. We suggest several extensions of Pythagorean fuzzy competition hypergraphs, including Pythagorean fuzzy economic competition hypergraphs, Pythagorean fuzzy row as well as column hypergraphs, Pythagorean fuzzy k-competition hypergraphs, m-step Pythagorean fuzzy competition hypergraphs and Pythagorean fuzzy neighborhood hypergraphs. The proposed graphical structures are good tools to measure the strength of direct and indirect competing and non-competing interactions. Their aptness is illustrated through examples, and results support their intrinsic interest. We propose algorithms that help to compose some of the presented graphical structures. We consider predator-prey interactions among organisms of the Bering Sea as an application: Pythagorean fuzzy competition hypergraphs encapsulate the competing relationships among its inhabitants. Specifically, the algorithm which constructs the Pythagorean fuzzy competition hypergraphs can also compute the strength of competing and non-competing relations of this scenario.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.Publicación en abierto financiada por el Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE), con cargo al Programa Operativo 2014ES16RFOP009 FEDER 2014-2020 DE CASTILLA Y LEÓN, Actuación:20007-CL - Apoyo Consorcio BUCL
d-반순서의 경쟁그래프의 연구
학위논문 (박사)-- 서울대학교 대학원 : 사범대학 수학교육과, 2018. 2. 김서령.The \emph{competition graph} of a digraph is defined to be a graph whose vertex set is the same as and which has an edge joining two distinct vertices and if and only if there are arcs and for some vertex in . Competition graphs have been extensively studied for more than four decades.
Cohen~\cite{cohen1968interval, cohen1977food, cohen1978food} empirically observed that most competition graphs of acyclic digraphs representing food webs are interval graphs. Roberts~\cite{roberts1978food} asked whether or not Cohen's observation was just an artifact of the construction, and then concluded that it was not by showing that if is an arbitrary graph, then together with additional isolated
vertices as many as the number of edges of is the competition graph of some acyclic digraph. Then he asked for a characterization of acyclic digraphs whose competition graphs are interval graphs. Since then, the problem has remained elusive and it has been one of the basic open problems in the study of competition graphs. There have been a lot of efforts to settle the problem and some progress has been made. While Cho and Kim~\cite{cho2005class} tried to answer his question, they could show that the competition graphs of doubly partial orders are interval graphs. They also showed that an interval graph together with sufficiently many isolated vertices is the competition graph of a doubly partial order.
In this thesis, we study the competition graphs of -partial orders some of which generalize the results on the competition graphs of doubly partial orders.
For a positive integer , a digraph is called a \emph{-partial order} if V(D) \subset \RR^d and there is an arc from a vertex to a vertex if and only if is componentwise greater than . A doubly partial order is a -partial order.
We show that every graph is the competition graph of a -partial order for some nonnegative integer , call the smallest such the \emph{partial order competition dimension} of , and denote it by .
This notion extends the statement that the competition graph of a doubly partial order is interval and the statement that any interval graph can be the competition graph of a doubly partial order as long as sufficiently many isolated vertices are added, which were proven by Cho and Kim~\cite{cho2005class}. Then we study the partial order competition dimensions of some interesting families of graphs. We also study the -step competition graphs and the competition hypergraph of -partial orders.1 Introduction 1
1.1 Basic notions in graph theory 1
1.2 Competition graphs 6
1.2.1 A brief history of competition graphs 6
1.2.2 Competition numbers 7
1.2.3 Interval competition graphs 10
1.3 Variants of competition graphs 14
1.3.1 m-step competition graphs 15
1.3.2 Competition hypergraphs 16
1.4 A preview of the thesis 18
2 On the competition graphs of d-partial orders 1 20
2.1 The notion of d-partial order 20
2.2 The competition graphs of d-partial orders 21
2.2.1 The regular (d − 1)-dimensional simplex △ d−1 (p) 22
2.2.2 A bijection from H d + to a set of regular (d − 1)-simplices 23
2.2.3 A characterization of the competition graphs of d-partial orders 25
2.2.4 Intersection graphs and competition graphs of d-partial orders 27
2.3 The partial order competition dimension of a graph 29
3 On the partial order competition dimensions of chordal graphs 2 38
3.1 Basic properties on the competition graphs of 3-partial orders 39
3.2 The partial order competition dimensions of diamond-free chordal graphs 42
3.3 Chordal graphs having partial order competition dimension greater than three 46
4 The partial order competition dimensions of bipartite graphs 3 53
4.1 Order types of two points in R 3 53
4.2 An upper bound for the the partial order competition dimension of a graph 57
4.3 Partial order competition dimensions of bipartite graphs 64
5 On the m-step competition graphs of d-partial orders 4 69
5.1 A characterization of the m-step competition graphs of dpartial orders 69
5.2 Partial order m-step competition dimensions of graphs 71
5.3 dim poc (Gm) in the aspect of dim poc (G) 76
5.4 Partial order competition exponents of graphs 79
6 On the competition hypergraphs of d-partial orders 5 81
6.1 A characterization of the competition hypergraphs of d-partial orders 81
6.2 The partial order competition hyper-dimension of a hypergraph 82
6.3 Interval competition hypergraphs 88
Abstract (in Korean) 99Docto
Matrix Graph Grammars
This book objective is to develop an algebraization of graph grammars.
Equivalently, we study graph dynamics. From the point of view of a computer
scientist, graph grammars are a natural generalization of Chomsky grammars for
which a purely algebraic approach does not exist up to now. A Chomsky (or
string) grammar is, roughly speaking, a precise description of a formal
language (which in essence is a set of strings). On a more discrete
mathematical style, it can be said that graph grammars -- Matrix Graph Grammars
in particular -- study dynamics of graphs. Ideally, this algebraization would
enforce our understanding of grammars in general, providing new analysis
techniques and generalizations of concepts, problems and results known so far.Comment: 321 pages, 75 figures. This book has is publisehd by VDM verlag, ISBN
978-363921255
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