Results 231 to 240 of about 421,141 (266)
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Networks, Dynamics, and Modularity

Physical Review Letters, 2004
The identification of general principles relating structure to dynamics has been a major goal in the study of complex networks. We propose that the special case of linear network dynamics provides a natural framework within which a number of interesting yet tractable problems can be defined.
Evan A, Variano   +2 more
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Study of network dynamics

Computer Networks and ISDN Systems, 1993
Abstract Over the last few years Internet has grown from few a thousand hosts to well over a million hosts. It is supporting millions of users all over the world who use it for several different applications. In such a complex environment, it becomes difficult to detect problems with the design and implementation of various components.
Dheeraj Sanghi   +2 more
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Dynamic Conflict on a Network

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016
Players are endowed with resources. A player can engage in conflict with others to enlarge his resources. The set of potential conflicts is defined by a contiguity network. Players are farsighted and aim to maximize their resources. They decide on whether to wage war or remain peaceful.
Marcin Dziubinski   +2 more
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Aggregation in dynamic networks

Proceedings of the 2012 ACM symposium on Principles of distributed computing, 2012
The aggregation problem assumes that every process starts an execution with a unique token (an abstraction for data). The goal is to collect these tokens at a minimum number of processes by the end of the execution. This problem is particularly relevant to mobile networks where peer-to-peer communication is cheap (e.g., using 802.11 or Bluetooth), but ...
Alejandro Cornejo   +2 more
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On Dynamics of Student Networks

2009 Ninth International Conference on Hybrid Intelligent Systems, 2009
An instance of complex networks, Student Networks (SN), is mainly studied in this paper. Dynamic properties of SN were firstly studied and an improved Logistic Model was put foreword and was optimized by float-point GA. Then, fractal methods were applied to the study of dynamic growth of SN, and fractal algorithm were introduced and applied.
Ye Xu, Zhuo Wang 0004
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A Dynamics for Advertising on Networks

2017
We study the following question facing businesses in the world of online advertising: how should an advertising budget be spent when there are competing products? Broadly, there are two primary modes of advertising: (i) the equivalent of billboards in the real-world and (search or display) ads online that convert a percentage of the population that ...
L. Elisa Celis   +2 more
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NEURAL NETWORK DYNAMICS

Annual Review of Neuroscience, 2005
Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dynamics: (a) sustained responses to transient stimuli, which provide a model of working memory; (b) oscillatory ...
Tim P, Vogels   +2 more
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Dynamics in scheduled networks

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2009
When studying real or virtual systems through complex networks theories, usually time restrictions are neglected, and a static structure is defined to characterize which node is connected to which other. However, this approach is oversimplified, as real networks are indeed dynamically modified by external mechanisms. In order to bridge the gap, in this
Massimiliano, Zanin   +2 more
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Dynamic exchange networks

Social Networks, 2007
Considering the theoretical and empirical untenability of static exchange networks, researchers have asked how exchange outcomes change when links are added or deleted. The present paper assesses the validity of seemingly sensible propositions concerning the effects of adding and deleting a link on (i) the payoffs of the actors in the link, (ii) the ...
van Assen, M.A.L.M., van de Rijt, A.
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Dynamics of Citation Networks

2006
The aim of this paper is to give theoretical and experimental tools for measuring the driving force in evolving complex networks. First a discrete-time stochastic model framework is introduced to state the question of how the dynamics of these networks depend on the properties of the parts of the system.
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