2010
DOI: 10.1007/s11576-010-0244-0
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Eine kritische Analyse von Vernetzungsmaßen in sozialen Netzwerken

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Cited by 24 publications
(7 citation statements)
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“…Typically, the static analysis of a network includes -but is not limited to-: the application of different tools aimed at determining the importance of nodes under different prisms or measures of centrality (Landherr, Friedl & Heidemann 2010); the identification of the general patterns of the network as a whole -how the network links are distributed, how easy it is to navigate from one point to another, how dense the network is, what is the probability of closed triangles, etc. -which, in many cases, determine its functioning (Newman 2003a); and/or the analysis of the mesoscale behavior of the network, that is, of the intermediate levels between the node and the network as a whole, which can provide relevant information about the network; remarkably, community detection algorithms are among the most important mesoscale analysis tools (Bedi & Sharma 2016;Fortunato & Hric 2016;Fortunato & Newman 2022).…”
Section: Methodological Approach: Network Analysismentioning
confidence: 99%
“…Typically, the static analysis of a network includes -but is not limited to-: the application of different tools aimed at determining the importance of nodes under different prisms or measures of centrality (Landherr, Friedl & Heidemann 2010); the identification of the general patterns of the network as a whole -how the network links are distributed, how easy it is to navigate from one point to another, how dense the network is, what is the probability of closed triangles, etc. -which, in many cases, determine its functioning (Newman 2003a); and/or the analysis of the mesoscale behavior of the network, that is, of the intermediate levels between the node and the network as a whole, which can provide relevant information about the network; remarkably, community detection algorithms are among the most important mesoscale analysis tools (Bedi & Sharma 2016;Fortunato & Hric 2016;Fortunato & Newman 2022).…”
Section: Methodological Approach: Network Analysismentioning
confidence: 99%
“…This metric highlights the significance of a specific actor within the network. It could be denoted as (Landherr et al, 2010).…”
Section: Methodsmentioning
confidence: 99%
“…The definition of node importance and, hence, its centrality depends on the type of network being examined and the object of study. For example, in a social network, nodes that communicate with a large number of others, that is, nodes with a large number of links to other nodes (which may correspond to a large number of friendship relationships), are considered important [17]. Conversely, in an information flow network, a large number of links of a node does not necessarily make it important, as, for example, control over the information flowing between nodes is prioritized [18].…”
Section: Centrality In Network Theorymentioning
confidence: 99%