# Structure and dynamics of core/periphery networks

@article{Csermely2013StructureAD, title={Structure and dynamics of core/periphery networks}, author={P{\'e}ter Csermely and Andr{\'a}s London and Ling-Yun Wu and Brian Uzzi}, journal={ArXiv}, year={2013}, volume={abs/1309.6928} }

Recent studies uncovered important core/periphery network structures characterizing complex sets of cooperative and competitive interactions between network nodes, be they proteins, cells, species or humans. Better characterization of the structure, dynamics and function of core/periphery networks is a key step of our understanding cellular functions, species adaptation, social and market changes. Here we summarize the current knowledge of the structure and dynamics of "traditional" core…

## 311 Citations

Core-Periphery Structure in Networks (Revisited)

- Computer ScienceSIAM Rev.
- 2017

This paper develops a new method to investigate the meso-scale feature known as core-periphery structure, which entails identifying densely connected core nodes and sparsely connected peripheral nodes in a network.

Core-Periphery Structure in Networks

- Computer ScienceSIAM J. Appl. Math.
- 2014

This paper develops a new method to investigate the meso-scale feature known as core-periphery structure, which entails identifying densely connected core nodes and sparsely connected peripheral nodes in a network.

Network nestedness as generalized core-periphery structures

- EconomicsPhysical review. E
- 2016

It is suggested that the nestedness is in fact another way to express a mesoscale network property called the core-periphery structure, by defining the network-level measures for nestedness and core- periphery-ness in the case of weighted and bipartite networks.

Core-periphery structure requires something else in the network

- Computer ScienceArXiv
- 2017

This work proposes a scalable algorithm to detect pairs of core and periphery in networks, controlling for the effect of the node's degree, and illustrates the algorithm using various empirical networks.

Resilience of Core-Periphery Networks in the Case of Rich-Club

- Computer ScienceComplex.
- 2017

The resilience of networks showing a progressively denser rich-club is tested and how this structure is able to affect the network measures in terms of both cohesion and efficiency in information flow is observed.

Multicores-periphery structure in networks

- Computer ScienceNetwork Science
- 2019

The multicores-periphery structure is defined and an algorithm to identify the optimal partition of multiple cores and the periphery in general networks is introduced to demonstrate the performance of the algorithm by applying it to a well-known social network and a patent technology network.

Multipolarization versus unification in community networks

- Computer ScienceFuture Gener. Comput. Syst.
- 2018

Finding multiple core-periphery pairs in networks

- Computer SciencePhysical review. E
- 2017

This work proposes a scalable algorithm to detect multiple nonoverlapping groups of core-periphery structure in a network and illustrates the algorithm using synthesized and empirical networks.

Rich-Cores in Networks

- Computer SciencePloS one
- 2015

This work develops a method to characterise a rich-core in networks by theoretically coupling the underlying principle of arich-club with the escape time of a random walker and shows that the evolution of the core in World Trade and C. elegans networks correspond to responses to historical events and key stages in their physical development.

Density-Based and Transport-Based Core-Periphery Structures in Networks

- Computer SciencePhysical review. E, Statistical, nonlinear, and soft matter physics
- 2014

It is illustrated that a recently developed transport-based notion of node coreness is very useful for characterizing transportation networks, and a family of generative models of roadlike networks is developed, which demonstrate that the correlations between different measures of coreness can be very different for different types of networks.

## References

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A parameter is proposed called ldquocore coefficientrdquo to quantitatively evaluate the core-periphery structure of a metabolic network based on the concept of closeness centrality of metabolites and a newly defined parameter: network capacity.

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