The centrality index of a graph

By G. Sabidussi. 1966

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Citations in the corpus

The Connectivity Structure, Giant Strong Component and Centrality of Metabolic Networks (2003, background): “Sabidussi (1966) defined the term ‘closeness centrality’ of node x(C(x)) as follows:”
Disease candidate gene identification and prioritization using protein interaction networks (2009, background): “For instance, a variety of measures (degree centrality [36], closeness centrality [37] and betweenness centrality [38]) have been proposed by sociologists to determine the "centrality" of a node in a social network.”
Identifying a set of influential spreaders in complex networks (2016, methodology): “Up to now, many methods for ranking nodes by their influences have been proposed, such as degree, closeness[7], betweenness[8] centralities, and other heuristic algorithms[9, 10, 11, 12].”
Centrality Estimation in Large Networks (2007, background): “Depending on the type of network studied, they are proxies for the structural importance of an element for the overall functioning of the network.”
What do centrality measures measure in psychological networks? (2019, background): “A plausible way to quantify closeness or minimum reachability time is by finding the fastest route between two nodes (often referred to Running head: WHAT DO CENTRALITY MEASURES MEASURE? as the geodesic distance ; Sabidussi, 1966).”
Approximating Betweenness Centrality (2007, background): “Some of the well-known metrics for computing centrality are closeness [1], stress [2] and betweenness [3,4].”
A Survey on Trust Modeling (2015, background): “There are abundant metrics in the literature to model centrality or inﬂuence in networks [Everett and Borgatti 2005; Bonacich 1987; Brandes 2001; Freeman 1979; Freeman et al. 1991; Goh et al. 2003; Sabidussi 1966; Hage and Harary 1995; Shimbel 1953].”
Vital nodes identification in complex networks (2016, background): “Both eccentricity centrality [43] and closeness centrality [44, 45] think that the shorter the distance a node from all other nodes, the faster the information disseminated.”
An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation (2010, background): “KPP is similar to the better known closeness centrality measure [54] which is defined as the reciprocal of the total shortest distance from a given node to all other nodes.”
An empirical study of the Mexican banking system’s network and its implications for systemic risk (2012, unknown): “For example, in Sabidussi (1966), the author proposes that the centrality of a node should increase if an arc is added to such a node. Additionally, to add a node anywhere in the network should not decrease the centrality of any node. Betweenness centrality does not satisfy this criteria, but this c”
CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks (2015, methodology): “Eight centrality measures provided by CytoNCA are: Between-ness (Anthonisse, 1971; Newman, 2005), Closeness Centrality (Sabidussi, 1966), Degree Centrality (Jeong et al., 2001), Eigenvec-tor Centrality (Bonacich, 1987), Local Average Connectivity-based Centrality (Li et al., 2011), Network…”
Identification of influencers - Measuring influence in customer networks (2008, background): “Hakimi [34] and Sabidussi [53] developed a measure that central members are close, by stating that central nodes in a network have shortest paths to all other nodes.”
State of the aRt personality research: A tutorial on network analysis of personality data in R (2015, unknown): “Closeness centrality (Freeman, 1978; Sabidussi, 1966) is defined as the inverse of the sum of the distances of the focal node from all the other nodes in the network 5 .”