Results 11 to 20 of about 8,084,139 (305)
Dynamic Simultaneous Fare Proration for Large-Scale Network Revenue Management [PDF]
Network revenue management is concerned with managing demand for products that require inventory from one or several resources by controlling product availability and/or prices in order to maximize expected revenues subject to the available resource ...
Strauss, A K, Kemmer, P, Winter, T
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Dynamic network prediction [PDF]
AbstractWe present a statistical framework for generating predicted dynamic networks based on the observed evolution of social relationships in a population. The framework includes a novel and flexible procedure to sample dynamic networks given a probability distribution on evolving network properties; it permits the use of a broad class of approaches ...
Ravi Goyal, Victor De Gruttola
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Dynamic communicability predicts infectiousness [PDF]
Using real, time-dependent social interaction data, we look at correlations between some recently proposed dynamic centrality measures and summaries from large-scale epidemic simulations. The evolving network arises from email exchanges.
Mantzaris, Alexander Vassilios +3 more
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Identification in dynamic networks [PDF]
System identification is a common tool for estimating (linear) plant models as a basis for model-based predictive control and optimization. The current challenges in process industry, however, ask for data-driven modelling techniques that go beyond the single unit/plant models.
Paul M. J. Van den Hof +2 more
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Dynamics of information networks
AbstractWe explore a simple model of network dynamics which has previously been applied to the study of information flow in the context of epidemic spreading. A random rooted network is constructed that evolves according to the following rule: at a constant rate, pairs of nodes (i, j) are randomly chosen to interact, with an edge drawn from i to j (and
Andrei Sontag +2 more
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Dynamical networks in function dynamics [PDF]
29 pages, 10 ...
Kataoka, Naoto, Kaneko, Kunihiko
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Network data that changes over time can be very useful for studying a wide range of important phenomena, from how social network connections change to epidemiology. However, it is challenging to analyze, especially if it has many actors, connections or if the covered timespan is large with rapidly changing links (e.g., months of changes with changes at
Alexandra Lee +2 more
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Here we present the entropic dynamics formalism for networks. That is, a framework for the dynamics of graphs meant to represent a network derived from the principle of maximum entropy and the rate of transition is obtained taking into account the natural information geometry of probability distributions.
Felipe Xavier Costa, Pedro Pessoa
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CONTROLLING NETWORK DYNAMICS [PDF]
Network science has experienced unprecedented rapid development in the past two decades. The network perspective has also been widely applied to explore various complex systems in great depth. In the first decade, fundamental characteristics of complex network structure, such as the small-worldness, scale-freeness, and modularity, of various complex ...
Aming Li, Yang-Yu Liu
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Endogenous network dynamics [PDF]
In all social and economic interactions, individuals or coalitions choose not only with whom to interact but how to interact, and over time both the structure (the “with whom”) and the strategy (“the how”) of interactions change. Our objectives here are to model the structure and strategy of interactions prevailing at any point in time as a directed ...
Frank H. Page, Jr., Myrna H. Wooders
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