
arXiv: 1105.3338
The statistical tools of Complex Network Analysis are of great use to understand salient properties of complex systems, may these be natural or pertaining human engineered infrastructures. One of these that is receiving growing attention for its societal relevance is that of electricity distribution. In this paper, we present a survey of the most important scientific studies investigating the properties of different Power Grids infrastructures using Complex Network Analysis techniques and methodologies. We categorize and explore the most relevant literature works considering general topological properties, differences between the various graph-related indicators and reliability aspects.
VULNERABILITY, Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, Power Grid, Discrete Mathematics (cs.DM), graph theory, FOS: Physical sciences, Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), Infrastructure reliability, complex network analysis, power grid, Graph theory, infrastructure reliability, Applications of graph theory to circuits and networks, TOPOLOGY, Small world graphs, complex networks (graph-theoretic aspects), Complex Network Analysis, Computer Science - Discrete Mathematics
VULNERABILITY, Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, Power Grid, Discrete Mathematics (cs.DM), graph theory, FOS: Physical sciences, Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), Infrastructure reliability, complex network analysis, power grid, Graph theory, infrastructure reliability, Applications of graph theory to circuits and networks, TOPOLOGY, Small world graphs, complex networks (graph-theoretic aspects), Complex Network Analysis, Computer Science - Discrete Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 635 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
