作者: Pierluigi Crescenzi , Gianlorenzo D’Angelo , Lorenzo Severini , Yllka Velaj
DOI: 10.1007/978-3-319-20086-6_4
关键词: Random graph 、 Vertex (graph theory) 、 Combinatorics 、 Alpha centrality 、 Closeness 、 Greedy algorithm 、 Betweenness centrality 、 Network theory 、 Network controllability 、 Centrality 、 Graph 、 Complex network 、 Approximation algorithm 、 Computer science 、 Discrete mathematics
摘要: The closeness and the betweenness centralities are two well-known measures of importance a vertex within given complex network. Having high or centrality can have positive impact on itself: hence, in this paper we consider problem determining how much increase its by creating limited amount new edges incident to it. We first prove that does not admit polynomial-time approximation scheme unless $$P=NP$$, then propose simple greedy algorithm with an almost tight ratio, whose performance is tested synthetic graphs real-world networks.