Work

Centrality Fingerprints for Power Grid Network Growth Models

Year: 2015

Type: article

Abstract: In our previous work, we have shown that many of the properties of the Florida power grid are reproduced by deterministic network growth models based on the minimization of energy dissipation E diss. As there is no a priori best E diss minimizing growth model, we here present a tool, called the “centrality fingerprint,” for probing the behavior of different growth models. The centrality fingerprints are comparisons of the current flow into/out of the network with the values of various centrality measures calculated at every step of the growth process. Finally, we discuss applications to the Maryland power grid.

Source: Physics Procedia

DOI: 10.1016/j.phpro.2015.07.108

Authors: Aleks Jacob Gurfinkel, Daniel A. Silva, Per Arne Rikvold

Institution: Florida State University

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W1923901390

FWCI:

Cites: 10

Cited by: 4

Related to: 10