Abstract | ||
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Graph-theoretic approaches are increasingly popular in the representation and analysis of ecological networks, acting as a complement to traditional techniques, particularly to perform connectivity analysis. Local network indices are useful to identify portions of an ecological network that are worth inspecting, such as bottlenecks. However, the simple identification of cut nodes may turn out to be insufficient. By providing criteria to rank identified cut nodes, land managers are able to assess priorities for further local analysis. |
Year | Venue | Field |
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2017 | COMPLEX NETWORKS | Mathematical optimization,Ranking,Operations research,Ecological network,Critical habitat,Local area network,Local analysis,Geography,Network model |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
2 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gianni Fenu | 1 | 92 | 27.81 |
Pier Luigi Pau | 2 | 5 | 4.20 |