peer-reviewedWe present an analytical approach for bond percolation on multiplex networks and use it to determine the expected size of the giant connected component and the value of the critical bond occupation probability in these networks. We advocate the relevance of these tools to the modeling of multilayer robustness and contribute to the debate on whether any benefit is to be yielded from studying a full multiplex structure as opposed to its monoplex projection, especially in the seemingly irrelevant case of a bond occupation probability that does not depend on the layer. Although we find that in many cases the predictions of our theory for multiplex networks coincide with previously derived results for monoplex networks, we also unco...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
Understanding the robustness of interdependent networks has attracted much attention in recent years...
We present an analytical approach for bond percolation on multiplex networks and use it to determine...
peer-reviewedFrom transportation networks to complex infrastructures, and to social and communicatio...
peer-reviewedIn multiplex networks with a large number of layers, the nodes can have different activ...
Determining design principles that boost the robustness of interdependent networks is a fundamental ...
Determining design principles that boost the robustness of interdependent networks is a fundamental ...
Recently increasing attention has been addressed to the fluctuations observed in percolation defined...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
Understanding the robustness of interdependent networks has attracted much attention in recent years...
We present an analytical approach for bond percolation on multiplex networks and use it to determine...
peer-reviewedFrom transportation networks to complex infrastructures, and to social and communicatio...
peer-reviewedIn multiplex networks with a large number of layers, the nodes can have different activ...
Determining design principles that boost the robustness of interdependent networks is a fundamental ...
Determining design principles that boost the robustness of interdependent networks is a fundamental ...
Recently increasing attention has been addressed to the fluctuations observed in percolation defined...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
International audienceWe consider multiple networks formed by a common set of users connected via M ...
Understanding the robustness of interdependent networks has attracted much attention in recent years...