activity
20122023
most citedSmall Point-Sets Supporting Graph Stories

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DS2023

Efficient Enumeration of Drawings and Combinatorial Structures for Maximal Planar Graphs

Giordano Da Lozzo, Giuseppe Di Battista, Fabrizio Frati +2

We propose efficient algorithms for enumerating the notorious combinatorial structures of maximal planar graphs, called canonical orderings and Schnyder woods, and the related clas…

cs.DS2023

Treebar Maps: Schematic Representation of Networks at Scale

Giuseppe Di Battista, Fabrizio Grosso, Silvia Montorselli +1

Many data sets, crucial for today's applications, consist essentially of enormous networks, containing millions or even billions of elements. Having the possibility of visualizing…

cs.DS20222 cited

Small Point-Sets Supporting Graph Stories

Giuseppe Di Battista, Walter Didimo, Luca Grilli +4

In a graph story the vertices enter a graph one at a time and each vertex persists in the graph for a fixed amount of time , called viewing window. At any time, the user can see…

cs.DS2022

st-Orientations with Few Transitive Edges

Carla Binucci, Walter Didimo, Maurizio Patrignani

The problem of orienting the edges of an undirected graph such that the resulting digraph is acyclic and has a single source s and a single sink t has a long tradition in graph the…

cs.CG2016

LR-Drawings of Ordered Rooted Binary Trees and Near-Linear Area Drawings of Outerplanar Graphs

Fabrizio Frati, Maurizio Patrignani, Vincenzo Roselli

In this paper we study a family of algorithms, introduced by Chan [SODA 1999] and called LR-algorithms, for drawing ordered rooted binary trees. In particular, we are interested in…

cs.CG20162 cited

Computing NodeTrix Representations of Clustered Graphs

Giordano Da Lozzo, Giuseppe Di Battista, Fabrizio Frati +1

NodeTrix representations are a popular way to visualize clustered graphs; they represent clusters as adjacency matrices and inter-cluster edges as curves connecting the matrix boun…