Titlebook: Complex Systems andNetworks; Dynamics, Controls a Jinhu Lü,Xinghuo Yu,Wenwu Yu Book 2016 Springer-Verlag Berlin Heidelberg 2016 Complex Net

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Oliver Farhauer,Alexandra Kröllmodel to study the disease propagation dynamics in four different prototypical networks, namely, the regular nearest-neighbor (RN) network, the classical Erdös-Renyí (ER) random graph, the Watts-Strogátz small-world (SW) network, and the Barabási-Albert (BA) scalefree network. We find that the disea

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Oliver Farhauer,Alexandra Krölldidate items which incorporates timing information of ratings to improve both accuracy and novelty of recommender systems. The filter can be applied as adds-on to any recommender algorithm. The second model is a probabilistic model which resolves the dilemma and provides adjustable level of accuracy

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Collective Behavior Coordination with Predictive Mechanisms,grator multi-agent systems with input constraints. Associated sufficient conditions such as that the proximity net has a directed spanning tree and that the sampling period is sufficiently small are proposed. Moreover, the control horizon is extended to larger than one, which endows sufficient degre

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Towards Structural Controllability of Temporal Complex Networks,k is represented by time-ordered graph (TOG). Instead of calculating the rank of controllability matrix directly, finding and classifying temporal trees of the time-ordered graph provides an effective way to estimate the controlling centrality of a node in the network.

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