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Comparative definition of community and corresponding identifying algorithm.
TLDR
A comparative definition for community in networks is proposed, and the corresponding detecting algorithm is given. Expand
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Asymptotic properties of covariate-adaptive randomization
Balancing treatment allocation for influential covariates is critical in clinical trials. This has become increasingly important as more and more biomarkers are found to be associated with differentExpand
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Avoiding catastrophic failure in correlated networks of networks
Connecting complex networks is known to exacerbate perturbations and lead to cascading failures, but natural networks of networks are surprisingly stable. A theory now proposes that network structureExpand
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Community detection by signaling on complex networks.
Based on a signaling process of complex networks, a method for identification of community structure is proposed. For a network with n nodes, every node is assumed to be a system which can send,Expand
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Competing for Attention in Social Media under Information Overload Conditions
TLDR
We analyze the user-generated content in Sina Weibo, and find evidence that the spread of popular messages often follow a mechanism that differs from thespread of disease, in contrast to common belief. Expand
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Percolation in Interdependent and Interconnected Networks: Abrupt Change from Second to First Order Transition
TLDR
We study the dynamics of the cascading failures process and the state solutions of the giant components in coupled networks, when both interdependent and interconnected links exist, using a percolation approach. Expand
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Measuring the significance of community structure in complex networks.
TLDR
In this paper, an index to evaluate the significance of communities in networks is proposed based on perturbation of the network. Expand
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An Online Rolling Optimal Control Strategy for Commuter Hybrid Electric Vehicles Based on Driving Condition Learning and Prediction
TLDR
This paper presents an online supervisory control strategy for commuter hybrid electric vehicles (HEVs) based on driving condition learning and prediction. Expand
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Percolation of interdependent networks with intersimilarity.
TLDR
We apply our analysis to the case where the network of common links is an Erdős-Rényi (ER) network with the average degree K, and the two networks of noncommon links are also ER networks. Expand
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