Centrality and power in social networks: a game theoretic approach

Gómez, Daniel; González–Arangüena, Enrique; Manuel, Conrado; Owen, Guillermo; Pozo, Mónica del; Tejada, Juan

doi:10.1016/s0165-4896(03)00028-3

Cited by 163 publications

(122 citation statements)

References 16 publications

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“…The notion of centrality comes from its use in social networks [20]. Intuitively, it is related to the ability of a node to communicate directly with other nodes, or to its closeness to many other nodes or to the quantity of pairs of nodes which need a specific node as intermediary in their communications [21]. These ideas have materialised in some well-known centrality measures such as degree centrality (DC), closeness centrality (CC), and betweenness centrality (BC) [20,22].…”

Section: Introductionmentioning

confidence: 99%

Virtual identification of essential proteins within the protein interaction network of yeast

2006

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Topological analysis of large scale protein-protein interaction networks (PINs) is important for understanding the organisational and functional principles of individual proteins. The number of interactions that a protein has in a PIN has been observed to be correlated with its indispensability. Essential proteins generally have more interactions than the non-essential ones. We show here that the lethality associated with removal of a protein from the yeast proteome correlates with different centrality measures of the nodes in the PIN, such as the closeness of a protein to many other proteins, or the number of pairs of proteins which need a specific protein as an intermediary in their communications, or the participation of a protein in different protein clusters in the PIN. These measures are significantly better than random selection in identifying essential proteins in a PIN. Centrality measures based on graph spectral properties of the network, in particular the subgraph centrality, show the best performance in identifying essential proteins in the yeast PIN. Subgraph centrality gives important structural information about the role of individual proteins and permits the selection of possible targets for rational drug discovery through the identification of essential proteins in the PIN.

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Section: Introductionmentioning

confidence: 99%

Virtual identification of essential proteins within the protein interaction network of yeast

2006

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“…Para Gómes (2003), um indivíduo é central em uma rede quando pode se relacionar de forma direta com diversos atores diferentes e quando muitos atores o utilizam como ponte para se comunicar com outros.…”

Section: Sociometriaunclassified

Publicação Científica na Área de Estratégia do ENANPAD e do 3ES: de 1997 a 2010

Walter

Bach

Lanza

et al. 2013

RIAE

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“…The idea of using multiple centrality measures in my analysis is based on the findings of Gomez, González-Arangüena, Manuel, Owen, del Pozo, Tejada (2003), according to whom 'the multiplicity and diversity of formal definitions proposed for centrality measures indicate that there is not a unique type of centrality and that different problems must give rise to different measures.' (Gomez et al, 2003: 52).…”

Section: The Measures Of Centralitymentioning

confidence: 99%

Is the Positive Network the Inverse of Negative Network?

Telegdy¹

2013

International Review of Social Research

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The aim of this study is to identify the central and peripheral actors in two ethnically homogenous theoretical high school classes, in order to prove that the positive and the negative ties produce different networks. Measures of density and centrality were used for identifying differences between the two types of social networks. The results confirmed that, at the network level, the negative network is not the inverse of the positive network. At the individual level, results did not indicate whether those persons who are on the periphery of the positive network are also on the periphery of the negative network. Furthermore, besides confirming the fact that the positive networks are denser than the negative ones, I found that negative networks are highly polarized in comparison with positive networks.

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Centrality and power in social networks: a game theoretic approach

Cited by 163 publications

References 16 publications

Virtual identification of essential proteins within the protein interaction network of yeast

Virtual identification of essential proteins within the protein interaction network of yeast

Publicação Científica na Área de Estratégia do ENANPAD e do 3ES: de 1997 a 2010

Is the Positive Network the Inverse of Negative Network?

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