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Journal of Graph Algorithms and Applications
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Small Point-Sets Supporting Graph Stories

Small point-sets supporting graph stories
Authors: Giuseppe Di Battista; Walter Didimo; Luca Grilli 0001; Fabrizio Grosso; Giacomo Ortali; Maurizio Patrignani; Alessandra Tappini;

Small Point-Sets Supporting Graph Stories

Abstract

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 $ω$, called viewing window. At any time, the user can see only the drawing of the graph induced by the vertices in the viewing window and this determines a sequence of drawings. For readability, we require that all the drawings of the sequence are planar. For preserving the user's mental map we require that when a vertex or an edge is drawn, it has the same drawing for its entire life. We study the problem of drawing the entire sequence by mapping the vertices only to $ω+k$ given points, where $k$ is as small as possible. We show that: $(i)$ The problem does not depend on the specific set of points but only on its size; $(ii)$ the problem is NP-hard and is FPT when parameterized by $ω+k$; $(iii)$ there are families of graph stories that can be drawn with $k=0$ for any $ω$, while for $k=0$ and small values of $ω$ there are families of graph stories that can be drawn and others that cannot; $(iv)$ there are families of graph stories that cannot be drawn for any fixed $k$ and families of graph stories that require at least a certain $k$.

Appears in the Proceedings of the 30th International Symposium on Graph Drawing and Network Visualization (GD 2022)

Country
Italy
Related Organizations
Keywords

FOS: Computer and information sciences, Dynamic graphs; Planar graphs; Time and graph drawing, families of graph stories, Graph representations (geometric and intersection representations, etc.), Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Structural characterization of families of graphs, Dynamic Graphs, Planar Graphs, Time and Graph Drawing, viewing window

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
gold