2022
DOI: 10.1007/s13278-021-00749-9
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A core-periphery structure-based network embedding approach

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Cited by 2 publications
(1 citation statement)
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“…This routine normalizes the scores against the maximum possible scores in an equivalently sized connected two-mode network and provides appropriately scaled measures (Borgatti and Everett, 1997;Everett, 2016). The centrality degree of a node determines the number of direct incoming and outgoing relations, and betweenness centrality means the degree of indirect connections between nodes, allowing to determine who or what in the network is best connected with other nodes, acts as bridges (in positive and negative meaning) and is also the most central node in the entire network with potentially high impact on other nodes in the network (Borgatti and Everett, 2000;Sarkar et al, 2022).…”
Section: Two-mode Centrality and Row Exclusivitymentioning
confidence: 99%
“…This routine normalizes the scores against the maximum possible scores in an equivalently sized connected two-mode network and provides appropriately scaled measures (Borgatti and Everett, 1997;Everett, 2016). The centrality degree of a node determines the number of direct incoming and outgoing relations, and betweenness centrality means the degree of indirect connections between nodes, allowing to determine who or what in the network is best connected with other nodes, acts as bridges (in positive and negative meaning) and is also the most central node in the entire network with potentially high impact on other nodes in the network (Borgatti and Everett, 2000;Sarkar et al, 2022).…”
Section: Two-mode Centrality and Row Exclusivitymentioning
confidence: 99%