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Article
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SIAM Journal on Computing
Article . 1985 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1985
Data sources: DBLP
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Arboricity and Subgraph Listing Algorithms

Arboricity and subgraph listing algorithms
Authors: Norishige Chiba; Takao Nishizeki;

Arboricity and Subgraph Listing Algorithms

Abstract

A strategy of edge-searching in a graph, useful to subgraph listing problems, is introduced. It gives 4 algorithms (requiring linear space) for listing all triangles and quadrangles in G in O(a(G)m) time (for planar graphs both run in linear time), all subgraphs of order 1 in \(O(\ell a(G)^{\ell -2})\) time and all cliques in O(a(G)m) time per clique (m is the number of edges of G, a(G) its arboricity). Further, an upper bound on a(G) is given: a(G)\(\leq \lceil (2m+n)^{1/2}/2\rceil\), where n is the number of vertices of G.

Related Organizations
Keywords

Graph theory, linear time algorithms, Graph theory (including graph drawing) in computer science, Analysis of algorithms and problem complexity, edge-searching, subgraph listing, quadrangles, cliques, triangles

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    444
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    influence
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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!
444
Top 1%
Top 0.1%
Top 10%
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