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Furthermore, the correspondence we find between structural centrality and polymodality is consistent with recent human fMRI studies [23] which showed that association cortices have the highest regional efficiency (or, equivalently, the highest closeness centrality) within brain functional networks, regardless of the age of subjects.
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These include the establishment of direct ties, the strengths of these ties, as well as the density, structural holes, centrality, and cross-disciplinary links.
It uncovers their structural characteristics and centrality, and explores network centrality through the service pattern of shipping companies and port throughput in 2008 and 2015 using data from nine Korean shipping companies in the Korea China route by using social network analysis.
Table 3 shows the structural indicators of centrality, intermediation and density of the three networks analysed and the value the university scores for each one.
The clustering coefficient (CC), structural holes (SH), degree centrality (DC), closeness centrality (CNC), and betweenness centrality (BC) of each country are jointly used to comprehensively measure the structural properties of collaboration networks.
For organizational social network structures, we measured degree centrality and structural holes.
Our findings show that when country's centrality and structural holes are high, the positive effects of city's centrality and structural holes on innovation performance are enhanced, and the negative effects of city's clustering coefficient are weakened.
The consequences of species removals were quantified in terms of impacts on global structural indices and species' centrality indices.
Explanations of knowledge sharing in organizations emphasize either personality variables such as motivation or network-related structural variables such as centrality.
Social network analysis (SNA) is part of this field, and many constructs that help understand social networks have been proposed so far, such as centrality, density, structural holes, etc.
Examining large-scale connection matrices for macaque and cat cortex we focus on structural motif distributions and centrality measures of vertices with high degree because of their potential for relating local processing characteristics to global functional interactions and robustness in these networks.
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