2 research outputs found

    List graphs and distance-consistent node labelings

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    In this paper we consider node labelings c of an undirected connected graph G = (V, E) with labels {1, 2, ...,β€†βˆ£V∣}, which induce a list distance c(u, v) =β€„βˆ£c(v)β€…βˆ’β€…c(u)∣ besides the usual graph distance d(u, v). Our main aim is to find a labeling c so c(u, v) is as close to d(u, v) as possible. For any graph we specify algorithms to find a distance-consistent labeling, which is a labeling c that minimize βˆ‘u,v∈V(c(u,v)βˆ’d(u,v))2\sum\limits_{u,v\in V} (c(u,v)-d(u,v)) ^2. Such labeliings may provide structure for very large graphs. Furthermore, we define a labeling c fulfilling d(u1, v1) &lt; d(u2, v2) ⇒ c(u1, v1) ≀ c(u2, v2) for all node pairs u1, v1 and u2, v2 as a list labeling, and a graph that has a list labeling is a list graph. We prove that list graphs exist for all n =β€„βˆ£V∣ and all k =β€„βˆ£Eβˆ£β€„: nβ€…βˆ’β€…1 ≀ k ≀ n(nβ€…βˆ’β€…1)/2, and establish basic properties. List graphs are hamiltonian, and show weak versions of properties of path graphs.</p

    List graphs and distance-consistent node labelings

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