Models of core/periphery structures

By Stephen P. Borgatti, Martin G. Everett. Soc. Networks, 2000

2,090 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/a8d8aecc7fcc389ab1c3de9061d12cd44b343a8b

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Citations in the corpus

Networking responses to different levels of institutional void: a comparison of internationalizing SMEs in Egypt and the UK (2017, methodology): “The strength of tie was measured within the course of the interview through the concentric circles approach commonly employed by sociologists (Borgatti & Everett, 2000).”
The Core and Cosmopolitans: A Relational View of Innovation in User Communities (2012, methodology): “In other words, the core is favorably positioned to mobilize resources because much vital information is funneled through them (Borgatti and Everett 1999). Relationships also induce differentiation among community members. Core individuals are more likely than peripheral members to gain credit for t”
Kronecker Graphs: An Approach to Modeling Networks (2008, background): “This suggests a network structure which is also known as core-periphery (Borgatti and Everett, 2000; Holme, 2005), the jellyfish (Tauro et al.”
Knowledge and Information Networks in an Italian Wine Cluster (2009, background): “information and knowledge) reproduce an ideal core–periphery configuration (Borgatti & Everett, 1999 ; Everett & Borgatti, 1999 ).”
Cognitive Network Neuroscience (2015, background): “Two interesting types ofmesoscale organization are (i) core–periphery organization (Borgatti & Everett, 1999), in which a set of nodes forms a densely connected core and a second set of nodes forms a sparsely connected periphery (Figure 2C, left), and (ii) modular organization (Newman & Girvan,…”
The role of social networks in natural resource governance: What relational patterns make a difference? (2009, background): “…of centralized network, so-called core–periphery network, results when highly central (core) actors are very densely tied to each other, while actors in the periphery are connected only to the core actors, and not directly to other actors in the periphery (e.g. Borgatti and Everett, 1999) (Fig.”
Assessing the bias in samples of large online networks (2014, background): “periphery relate to the density of connections, and to the extent to which the network has a class of actors that are loosely connected to a more cohesive subgraph; the existence of a core/periphery structure in networks does not necessarily imply a hierarchical organisation (Borgatti and Everett, 1”
Core-Periphery Structure in Networks (2012, methodology): “The utility of both of these perspectives, and hence the desirability of the development of methods for studying core-periphery structure that have such flexibility, was recognized more than two decades ago [6, 10, 57].”
Task-Based Core-Periphery Organization of Human Brain Dynamics (2012, methodology): “We combine these methods for identifying a temporal core and periphery with a notion of core-periphery organization that originated in the social sciences [18] to show that the organizational structure of functional networks in 2–3 minute time windows correlates with the organizational structure of ”
Core–Periphery Structure in the Overnight Money Market: Evidence from the e-MID Trading Platform (2015, methodology): “In order to do so, we estimate various versions of core-periphery models in the spirit of Borgatti and Everett (2000).(10) Similar to De Masi et al. (2006) and Iori et al.”
Assessing the Bias in Communication Networks Sampled from Twitter (2012, background): “(Borgatti and Everett, 1999): the existence of a core/periphery structure in networks does not”