
doi: 10.1002/net.22085
handle: 20.500.12381/699
AbstractWhich is the most reliable graph withnnodes andmedges? This celebrated problem has several aspects, according to the notion of optimality (in a local or uniform sense), failure type (either nodes or edges), or reliability model (all‐terminal connectedness, two‐terminal or multiterminal setting). This article presents a chronological survey of the multiple proposals to address the problem, together with recent trends and enigmatic conjectures posed decades ago that promote further research.
most reliable graph, Extremal problems in graph theory, Matemáticas, Two-terminal reliability, Matemática Aplicada, Graph theory, All-terminal reliability, Ciencias Naturales y Exactas, Uniformly least reliable graph, Failure type, network reliability, uniformly optimally reliable graph, Small world graphs, complex networks (graph-theoretic aspects), reliability polynomial, Uniformly most reliable graph
most reliable graph, Extremal problems in graph theory, Matemáticas, Two-terminal reliability, Matemática Aplicada, Graph theory, All-terminal reliability, Ciencias Naturales y Exactas, Uniformly least reliable graph, Failure type, network reliability, uniformly optimally reliable graph, Small world graphs, complex networks (graph-theoretic aspects), reliability polynomial, Uniformly most reliable graph
| 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). | 16 | |
| 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% |
