TY - GEN
T1 - Computing the degeneracy of large graphs
AU - Farach-Colton, Martín
AU - Tsai, Meng Tsung
PY - 2014
Y1 - 2014
N2 - Any ordering of the nodes of an n-node, m-edge simple undirected graph G defines an acyclic orientation of the edges in which each edge is oriented from the earlier node in the ordering to the later. The degeneracy on an ordering is the maximum outdegree it induces, and the degeneracy of a graph is smallest degeneracy of any node ordering. Small-degeneracy orderings have many applications. We give an algorithm for generating an ordering whose degeneracy approximates the minimum possible, that is, it approximates the degeneracy of the graph. Although the optimal ordering itself can be computed in O(m)time and O(m) space, such algorithms are infeasible for large graphs. Our approximation algorithm is semi-streaming: it uses less space, can achieve a constant approximation ratio, and accesses the graph in logarithmic read-only passes.
AB - Any ordering of the nodes of an n-node, m-edge simple undirected graph G defines an acyclic orientation of the edges in which each edge is oriented from the earlier node in the ordering to the later. The degeneracy on an ordering is the maximum outdegree it induces, and the degeneracy of a graph is smallest degeneracy of any node ordering. Small-degeneracy orderings have many applications. We give an algorithm for generating an ordering whose degeneracy approximates the minimum possible, that is, it approximates the degeneracy of the graph. Although the optimal ordering itself can be computed in O(m)time and O(m) space, such algorithms are infeasible for large graphs. Our approximation algorithm is semi-streaming: it uses less space, can achieve a constant approximation ratio, and accesses the graph in logarithmic read-only passes.
UR - http://www.scopus.com/inward/record.url?scp=84899944191&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-54423-1_22
DO - 10.1007/978-3-642-54423-1_22
M3 - Conference contribution
AN - SCOPUS:84899944191
SN - 9783642544224
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 250
EP - 260
BT - LATIN 2014
PB - Springer Verlag
T2 - 11th Latin American Theoretical Informatics Symposium, LATIN 2014
Y2 - 31 March 2014 through 4 April 2014
ER -