Trees in random graphs
Copyright policy ) Paul Erdös; Zbigniew Palka;
Trees in random graphs
The probability space consisting of all graphs on a set of \(n\) vertices where each edge occurs with probability \(p\), independently of all other edges, is denoted by \(G(n,p)\). Theorem: For each \(\epsilon>0\) almost every graph \(G\in G(n,p)\) is such if \((1+\epsilon)\log n/\log d
Combinatorial probability, Random graphs (graph-theoretic aspects), Discrete Mathematics and Combinatorics, maximal induced tree, induced star, Trees, Theoretical Computer Science
Combinatorial probability, Random graphs (graph-theoretic aspects), Discrete Mathematics and Combinatorics, maximal induced tree, induced star, Trees, Theoretical Computer Science
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).23 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 23
Top 10%
Top 10%
Top 10%
hybrid
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