An independent set is a set of nodes in a graph such that no two of them are adjacent. It is maximal if there is no node outside the independent set that may join it. Listing maximal independent sets in graphs can be applied, for example, to sample nodes belonging to different communities or clusters in network analysis and document clustering. The problem has a rich history as it is related to maximal cliques, dominance sets, vertex covers and 3-colorings in graphs. We are interested in reducing the delay, which is the worst-case time between any two consecutively output solutions, and the memory footprint, which is the additional working space behind the read-only input graph.

Listing maximal independent sets with minimal space and bounded delay / Conte, Alessio; Grossi, Roberto; Marino, Andrea; Uno, Takeaki; Versari, Luca. - STAMPA. - 10508:(2017), pp. 144-160. (Intervento presentato al convegno 24th International Symposium on String Processing and Information Retrieval, SPIRE 2017 tenutosi a ita nel 2017) [10.1007/978-3-319-67428-5_13].

Listing maximal independent sets with minimal space and bounded delay

Grossi, Roberto;Marino, Andrea;
2017

Abstract

An independent set is a set of nodes in a graph such that no two of them are adjacent. It is maximal if there is no node outside the independent set that may join it. Listing maximal independent sets in graphs can be applied, for example, to sample nodes belonging to different communities or clusters in network analysis and document clustering. The problem has a rich history as it is related to maximal cliques, dominance sets, vertex covers and 3-colorings in graphs. We are interested in reducing the delay, which is the worst-case time between any two consecutively output solutions, and the memory footprint, which is the additional working space behind the read-only input graph.
2017
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
24th International Symposium on String Processing and Information Retrieval, SPIRE 2017
ita
2017
Conte, Alessio; Grossi, Roberto; Marino, Andrea; Uno, Takeaki; Versari, Luca
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1149221
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 7
social impact