
Let \(P\) be a property of a set of vertices of a graph (e.g., being a maximal independent set in the graph). An iterated \(P\)-coloring of a graph is one that can be obtained through the following greedy algorithm (called iterated coloring algorithm by the authors): Repeatedly choose a set of vertices with property \(P\), color it with an unused color and delete it. For several properties \(P\), bounds for the maximum and minimum number of colors an iterated \(P\)-coloring can have are given. Some algorithmic issues are discussed as well.
Iterated coloring, Irredundance, independence, Independence, Domination, Theoretical Computer Science, Coloring of graphs and hypergraphs, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), Graph algorithms (graph-theoretic aspects), Graph theory (including graph drawing) in computer science, irredundance, Discrete Mathematics and Combinatorics, domination
Iterated coloring, Irredundance, independence, Independence, Domination, Theoretical Computer Science, Coloring of graphs and hypergraphs, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), Graph algorithms (graph-theoretic aspects), Graph theory (including graph drawing) in computer science, irredundance, Discrete Mathematics and Combinatorics, domination
| citations 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). | 4 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
