In previous research we defined a methodology for mapping centrality in urban networks. Such methodology, named Multiple Centrality Assessment (MCA), makes it possible to ascertain how each street is structurally central in a city according to several different notions of centrality, as well as different scales of “being central”. In this study we investigate the case of Bologna, northern Italy...

BACKGROUND AND OBJECTIVES Following stressful events, there is evidence that the degree to which the event is perceived as central to one's identity and forms a reference point for the attribution of meaning to other events (i.e., "centrality of events") is associated with depression symptoms. However, these findings have primarily come from cross-sectional studies of undergraduate samples, and...

In this paper, we measure and analyze the correlation of betweenness centrality (BWC) to five centrality measures, including eigenvector centrality (EVC), degree centrality (DEG), clustering coefficient centrality (CCC), farness centrality (FRC), and closeness centrality (CLC). We simulate the evolution of random networks and small-world networks to test the correlation between BWC and the five...

This paper introduces a new centrality measure, nominated by the authors as mobility centrality (C), which arose during the study of the interregional road network in Greece. The proposed measure is constructed by the use of the anagogic method considering the formula of the kinetic energy of a particle in Physics and adjusting its mathematical analogue to the case of the interregional road net...

Drawing on social exchange and similarity-attraction theories, we hypothesized that individuals’ demographic characteristics, values, and personality influence their acquisition of central positions in their teams’ social networks. Education and neuroticism predicted centrality five months later; individuals who were highly educated and low in neuroticism became high in advice and friendship ce...

The behaviour of the normalized variance of the multiplictiy distribution and the normalized transverse momentum fluctuations with centrality is naturally explained by the dependence on centrality of the number of clusters of color sources. This dependence predicts a nonmonotonic behaviour with centrality of the multiplicity associated to high p T events. The clustering of color sources is also...

The present study examined how the network science measure known as closeness centrality (which measures the average distance between a node and all other nodes in the network) influences lexical processing. In the mental lexicon, a word such as CAN has high closeness centrality, because it is close to many other words in the lexicon. Whereas, a word such as CURE has low closeness centrality be...

How to identify influential nodes is a key issue in complex networks. The degree centrality is simple, but is incapable to reflect the global characteristics of networks. Betweenness centrality and closeness centrality do not consider the location of nodes in the networks, and semi-local centrality, leaderRank and pageRank approaches can be only applied in unweighted networks. In this paper, a ...