A network approach for power grid robustness against cascading failures

Cascading failures are one of the main reasons for blackouts in electrical power grids. Stable power supply requires a robust design of the power grid topology. Currently, the impact of the grid structure on the grid robustness is mainly assessed by purely topological metrics, that fail to capture the fundamental properties of the electrical...

Quantifying the robustness of metro networks

Metros (heavy rail transit systems) are integral parts of urban transportation systems. Failures in their operations can have serious impacts on urban mobility, and measuring their robustness is therefore critical. Moreover, as physical networks, metros can be viewed as network topological entities, and as such they possess measurable network...

Shaping vibrant urban places in Chinese inner-city station areas: A case study of Beijing West station areas

Cities in China are embarked on ambitions plans to create renewed inner-city station areas, particularly evident after a series of redevelopment projects; these projects mainly focus on the development of transport infrastructures, rather than turning station areas into vibrant urban spaces. Therefore, a general lack of citizen’s daily...

Inner-city station areas in Chinese cities

Redevelopments of Chinese inner-­?city station areas introduced both new transport infrastructures (high speed railway, urban mass transit system, etc.) and real estate projects to station vicinities during the past decades. However, existing station areas are isolated from the rest of the city, and seldom urban activities take place in station...

Do greedy assortativity optimization algorithms produce good results?

Correlating the topology of a metabolic network with its growth capacity

Metabolic network destruction: Relating topology to robustness

Biological networks exhibit intriguing topological properties such as small-worldness. In this paper, we investigate whether the topology of a metabolic network is related to its robustness. We do so by perturbing a metabolic system in silico, one reaction at a time and studying the correlations between growth, as predicted by flux balance...

Degree and Principal Eigenvectors in Complex Networks

The largest eigenvalue ? 1 of the adjacency matrix powerfully characterizes dynamic processes on networks, such as virus spread and synchronization. The minimization of the spectral radius by removing a set of links (or nodes) has been shown to be an NP-complete problem. So far, the best heuristic strategy is to remove links/nodes based on the...