Centrality and network flow

By Stephen P. Borgatti. Soc. Networks, 2005

3,545 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/3f37032782095a14df75974513a219a656366fd8

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In Computer Networks and Communications

In Statistical and Nonlinear Physics

Citations in the corpus

Adaptation, bridging and firm upgrading: How non-market institutions and MNCs facilitate knowledge recombination in emerging markets (2014, methodology): “Using NetDraw (Borgatti, 2005), we show in Figure 2a the aggregate ego network of the 59 firms in the sample and their ties to associations and GSIs.”
Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs (2009, background): “A number of different flow processes are considered, such as package delivery, gossip, and infection.”
On Network Theory (2011, background): “10The terminology in Borgatti and Foster (2003) is somewhat”
A Critical Review of Centrality Measures in Social Networks (2010, methodology): “However, this assignment in Borgatti (2005) is merely argumentative, i.e. he does not provide quantitative criteria for intersubjective verification of the suitability of individual CM for certain applications.”
Structuring for team success: The interactive effects of network structure and cultural diversity on team potency and performance (2014, neutral): “…‘‘density,’’ which reflects the degree to which a team’s members are interconnected; and ‘‘centralization,’’ which reflects the extent to which one or more members are disproportionately central in the team’s network (Borgatti, 2005; Freeman, Borgatti, & White, 1991; cf. Zhang & Peterson, 2011).”
Centrality measure in graphs (2010, background): “[1,2,6,13,21,29,31,38,42,43] different efficient means have been sought [8,42,43, 47,48] for the computation of different centrality measures, further mathematical results have been enunciated [43,45,46,49,50] and comparisons of different definitions have been made [51–55].”
Node centrality in weighted networks: Generalizing degree and shortest paths (2010, background): “’s (2004) generalization equates two ties with a weight of 1 and a single tie with a weight of 2, and the implementation of Dijkstra’s (1959) shortest path algorithm by Newman (2001) and Brandes (2001) implicitly assumes that the number of intermediary nodes only represent a negligent cost.”
Connecting natural landscapes using a landscape permeability model to prioritize conservation activities in the United States (2012, methodology): “Third, we calculated a network centrality metric to quantify the relative importance of each cell to the broader landscape configuration (Borgatti 2005).”
Graph models of habitat mosaics. (2009, background): “Borgatti (2005) emphasized the mode of transfer of information among nodes in a network and the implications of this for choosing an appropriate index of betweenness.”
Stability and variability of personality networks. A tutorial on recent developments in network psychometrics (2017, background): “Centrality quantifies the relative importance of a node in the context of other nodes (Borgatti, 2005; Freeman, 1978).”
Constructing, conducting and interpreting animal social network analysis (2015, methodology): “We give definitions of some of the most commonly used network metrics in Box 2, Newman (2010) provides detailed accounts of many more, and Borgatti (2005) provides detailed a detailed account of their appropriate use.”