
Let G = ( V , E ) be an undirected graph, with three numbers d 0 ( e ) ≥ d 1 ( e ) ≥ d 2 ( e ) ≥ 0 for each edge e ∈ E . A solution is a subset U ⊆ V and d i ( e ) represents the cost contributed to the solution by the edge e if exactly i of its endpoints are in the solution. The cost of including a vertex v in the solution is c ( v ). A solution has cost that is equal to the sum of the vertex costs and the edge costs. The minimum generalized vertex cover problem is to compute a minimum cost set of vertices. We study the complexity of the problem with the costs d 0 ( e ) = 1, d 1 ( e ) = α and d 2 ( e ) = 0 ∀ e ∈ E and c ( v ) = β∀ v ∈ V , for all possible values of α and β. We also provide 2-approximation algorithms for the general case.
| 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). | 19 | |
| 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. | Average |
