Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386101171> ?p ?o ?g. }
- W4386101171 endingPage "121154" @default.
- W4386101171 startingPage "121154" @default.
- W4386101171 abstract "Identifying influential nodes is a very hot and challenging issue in the field of complex system and network. A great deal of algorithms have been developed to address the influential nodes identification problem, but most of previous studies are compromising between result accuracy and time cost. In this work, we propose a communicability-based adaptive gravity model (CAGM) for influential nodes identification. The key idea of CAGM algorithm is that the importance of each node is evaluated by comprehensively considering the influence probability and influence intensity information of neighbor nodes located in its influence radius. More specifically, the communicability network matrix is introduced to depict the influence probability between each pair of nodes. By integrating k-shell, degree and distance information, the influence radius of each node can be determined uniquely so as to portray the inherent heterogeneity of nodes in complex networks. To verify the effectiveness and applicability of CAGM, several groups of simulated experiments on twelve real and artificial datasets are concluded. Experimental results show that CAGM performs better than eight popular algorithms in terms of top-10 nodes, discrimination ability, imprecision function and ranking accuracy." @default.
- W4386101171 created "2023-08-24" @default.
- W4386101171 creator A5037573317 @default.
- W4386101171 creator A5053499591 @default.
- W4386101171 date "2024-01-01" @default.
- W4386101171 modified "2023-09-26" @default.
- W4386101171 title "CAGM: A communicability-based adaptive gravity model for influential nodes identification in complex networks" @default.
- W4386101171 cites W1971937094 @default.
- W4386101171 cites W1992250165 @default.
- W4386101171 cites W1995876521 @default.
- W4386101171 cites W2008620264 @default.
- W4386101171 cites W2023655578 @default.
- W4386101171 cites W2040763707 @default.
- W4386101171 cites W2056944867 @default.
- W4386101171 cites W2064643031 @default.
- W4386101171 cites W2092598586 @default.
- W4386101171 cites W2110161496 @default.
- W4386101171 cites W2112090702 @default.
- W4386101171 cites W2128438887 @default.
- W4386101171 cites W2133131640 @default.
- W4386101171 cites W2161953836 @default.
- W4386101171 cites W2169528473 @default.
- W4386101171 cites W2261717057 @default.
- W4386101171 cites W2396727997 @default.
- W4386101171 cites W2559865276 @default.
- W4386101171 cites W2751922136 @default.
- W4386101171 cites W2761865950 @default.
- W4386101171 cites W2790762298 @default.
- W4386101171 cites W2793058854 @default.
- W4386101171 cites W2800933746 @default.
- W4386101171 cites W2883365145 @default.
- W4386101171 cites W2892175958 @default.
- W4386101171 cites W2924173387 @default.
- W4386101171 cites W2948445876 @default.
- W4386101171 cites W2977921098 @default.
- W4386101171 cites W2983536964 @default.
- W4386101171 cites W2998272707 @default.
- W4386101171 cites W3000128030 @default.
- W4386101171 cites W3003240653 @default.
- W4386101171 cites W3007464143 @default.
- W4386101171 cites W3010470956 @default.
- W4386101171 cites W3081115062 @default.
- W4386101171 cites W3103657871 @default.
- W4386101171 cites W3104961365 @default.
- W4386101171 cites W3115483671 @default.
- W4386101171 cites W3120038375 @default.
- W4386101171 cites W3125618103 @default.
- W4386101171 cites W3128140448 @default.
- W4386101171 cites W3152683632 @default.
- W4386101171 cites W3168702733 @default.
- W4386101171 cites W3171845654 @default.
- W4386101171 cites W3178237648 @default.
- W4386101171 cites W3186226641 @default.
- W4386101171 cites W3193217541 @default.
- W4386101171 cites W4210828082 @default.
- W4386101171 cites W4211096253 @default.
- W4386101171 cites W4213178162 @default.
- W4386101171 cites W4225775467 @default.
- W4386101171 cites W4282559224 @default.
- W4386101171 cites W4282827980 @default.
- W4386101171 cites W4283277456 @default.
- W4386101171 cites W4286508886 @default.
- W4386101171 cites W4290830324 @default.
- W4386101171 cites W4295136277 @default.
- W4386101171 cites W4298148554 @default.
- W4386101171 cites W4320168495 @default.
- W4386101171 cites W4328053698 @default.
- W4386101171 doi "https://doi.org/10.1016/j.eswa.2023.121154" @default.
- W4386101171 hasPublicationYear "2024" @default.
- W4386101171 type Work @default.
- W4386101171 citedByCount "0" @default.
- W4386101171 crossrefType "journal-article" @default.
- W4386101171 hasAuthorship W4386101171A5037573317 @default.
- W4386101171 hasAuthorship W4386101171A5053499591 @default.
- W4386101171 hasConcept C11413529 @default.
- W4386101171 hasConcept C116834253 @default.
- W4386101171 hasConcept C119857082 @default.
- W4386101171 hasConcept C124101348 @default.
- W4386101171 hasConcept C127413603 @default.
- W4386101171 hasConcept C136764020 @default.
- W4386101171 hasConcept C154945302 @default.
- W4386101171 hasConcept C178635117 @default.
- W4386101171 hasConcept C189430467 @default.
- W4386101171 hasConcept C202444582 @default.
- W4386101171 hasConcept C26517878 @default.
- W4386101171 hasConcept C31258907 @default.
- W4386101171 hasConcept C33923547 @default.
- W4386101171 hasConcept C34947359 @default.
- W4386101171 hasConcept C38652104 @default.
- W4386101171 hasConcept C41008148 @default.
- W4386101171 hasConcept C59822182 @default.
- W4386101171 hasConcept C62611344 @default.
- W4386101171 hasConcept C66938386 @default.
- W4386101171 hasConcept C86803240 @default.
- W4386101171 hasConcept C9652623 @default.
- W4386101171 hasConceptScore W4386101171C11413529 @default.
- W4386101171 hasConceptScore W4386101171C116834253 @default.
- W4386101171 hasConceptScore W4386101171C119857082 @default.