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Electronic Journal of Combinatorics
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Enumeration of Bipartite Graphs and Bipartite Blocks

Enumeration of bipartite graphs and bipartite blocks
Authors: Andrew Gainer-Dewar; Ira M. Gessel;

Enumeration of Bipartite Graphs and Bipartite Blocks

Abstract

We use the theory of combinatorial species to count unlabelled bipartite graphs and bipartite blocks (nonseparable or 2-connected graphs). We start with bicolored graphs, which are bipartite graphs that are properly colored in two colors. The two-element group $\mathfrak{S}_2$ acts on these graphs by switching the colors, and connected bipartite graphs are orbits of connected bicolored graphs under this action. From first principles we compute the $\mathfrak{S}_2$-cycle index for bicolored graphs, an extension of the ordinary cycle index, introduced by Henderson, that incorporates the $\mathfrak{S}_2$-action. From this we can compute the $\mathfrak{S}_2$-cycle index for connected bicolored graphs, and then the ordinary cycle index for connected bipartite graphs. The cycle index for connected bipartite graphs allows us, by standard techniques, to count unlabeled bipartite graphs and bipartite blocks. 

Keywords

Group actions on combinatorial structures, cycle index, 05A15, 05C30, FOS: Mathematics, combinatorial species, Mathematics - Combinatorics, Combinatorics (math.CO), Enumeration in graph theory, unlabeled bipartite graphs and blocks

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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!
1
Average
Average
Average
Green
gold