English

Windrose Planarity: Embedding Graphs with Direction-Constrained Edges

Computational Geometry 2019-04-04 v3

Abstract

Given a planar graph GG and a partition of the neighbors of each vertex vv in four sets UR(v)UR(v), UL(v)UL(v), DL(v)DL(v), and DR(v)DR(v), the problem Windrose Planarity asks to decide whether GG admits a windrose-planar drawing, that is, a planar drawing in which (i) each neighbor uUR(v)u \in UR(v) is above and to the right of vv, (ii) each neighbor uUL(v)u \in UL(v) is above and to the left of vv, (iii) each neighbor uDL(v)u \in DL(v) is below and to the left of vv, (iv) each neighbor uDR(v)u \in DR(v) is below and to the right of vv, and (v) edges are represented by curves that are monotone with respect to each axis. By exploiting both the horizontal and the vertical relationship among vertices, windrose-planar drawings allow to simultaneously visualize two partial orders defined by means of the edges of the graph. Although the problem is NP-hard in the general case, we give a polynomial-time algorithm for testing whether there exists a windrose-planar drawing that respects a given combinatorial embedding. This algorithm is based on a characterization of the plane triangulations admitting a windrose-planar drawing. Furthermore, for any embedded graph with nn vertices that has a windrose-planar drawing, we can construct one with at most one bend per edge and with at most 2n52n-5 bends in total, which lies on the 3n×3n3n \times 3n grid. The latter result contrasts with the fact that straight-line windrose-planar drawings may require exponential area.

Keywords

Cite

@article{arxiv.1510.02659,
  title  = {Windrose Planarity: Embedding Graphs with Direction-Constrained Edges},
  author = {Patrizio Angelini and Giordano Da Lozzo and Giuseppe Di Battista and Valentino Di Donato and Philipp Kindermann and Günter Rote and Ignaz Rutter},
  journal= {arXiv preprint arXiv:1510.02659},
  year   = {2019}
}

Comments

Appeared in Proceedings of the 27th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2016)

R2 v1 2026-06-22T11:16:33.376Z