scholarly journals Nonparametric inference for continuous-time event counting and link-based dynamic network models

2019 ◽  
Vol 13 (2) ◽  
pp. 2764-2829
Author(s):  
Alexander Kreiß ◽  
Enno Mammen ◽  
Wolfgang Polonik
Keyword(s):  
Continuous Time ◽  
Dynamic Network ◽  
Network Models ◽  
Nonparametric Inference ◽  
Dynamic Network Models ◽  
Event Counting

scholarly journals Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time

2019 ◽  
Vol 74 (3) ◽  
pp. 275-299 ◽  
Author(s):  
Cornelius Fritz ◽  
Michael Lebacher ◽  
Göran Kauermann
Keyword(s):  
Continuous Time ◽  
Dynamic Network ◽  
Network Models ◽  
Dynamic Network Models

scholarly journals Network Topology Impact on the Identification of Dynamic Network Models with Application to Autonomous Vehicle Platooning

2020 ◽  
Vol 53 (2) ◽  
pp. 1031-1036
Author(s):  
Guilherme A. Pimentel ◽  
Rafael de Vasconcelos ◽  
Aurélio Salton ◽  
Alexandre Bazanella
Keyword(s):  
Network Topology ◽  
Autonomous Vehicle ◽  
Dynamic Network ◽  
Network Models ◽  
Dynamic Network Models ◽  
Vehicle Platooning

scholarly journals A review of dynamic network models with latent variables

2018 ◽  
Vol 12 (0) ◽  
pp. 105-135 ◽  
Author(s):  
Bomin Kim ◽  
Kevin H. Lee ◽  
Lingzhou Xue ◽  
Xiaoyue Niu
Keyword(s):  
Latent Variables ◽  
Dynamic Network ◽  
Network Models ◽  
Dynamic Network Models

Reconstruction of dynamic network models from metabolite measurements

2007 ◽  
pp. 97-127 ◽  
Author(s):  
Matthias Reuss ◽  
Luciano Aguilera-Vázquez ◽  
Klaus Mauch
Keyword(s):  
Dynamic Network ◽  
Network Models ◽  
Dynamic Network Models

scholarly journals The (T, L)-Path Model and Algorithms for Information Dissemination in Dynamic Networks

Information ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 212
Author(s):  
Zhiwei Yang ◽  
Weigang Wu
Keyword(s):  
Network Topology ◽  
Information Dissemination ◽  
Dynamic Networks ◽  
Dynamic Network ◽  
Network Models ◽  
Point Of View ◽  
Path Model ◽  
Dynamic Network Models ◽  
Topology Changes ◽  
Practical Design

A dynamic network is the abstraction of distributed systems with frequent network topology changes. With such dynamic network models, fundamental distributed computing problems can be formally studied with rigorous correctness. Although quite a number of models have been proposed and studied for dynamic networks, the existing models are usually defined from the point of view of connectivity properties. In this paper, instead, we examine the dynamicity of network topology according to the procedure of changes, i.e., how the topology or links change. Following such an approach, we propose the notion of the “instant path” and define two dynamic network models based on the instant path. Based on these two models, we design distributed algorithms for the problem of information dissemination respectively, one of the fundamental distributing computing problems. The correctness of our algorithms is formally proved and their performance in time cost and communication cost is analyzed. Compared with existing connectivity based dynamic network models and algorithms, our procedure based ones are definitely easier to be instantiated in the practical design and deployment of dynamic networks.

Dynamic network models and driver information systems

1991 ◽  
Vol 25 (5) ◽  
pp. 251-266 ◽  
Author(s):  
Moshe Ben-Akiva ◽  
Andre De Palma ◽  
Kaysi Isam
Keyword(s):  
Information Systems ◽  
Dynamic Network ◽  
Network Models ◽  
Dynamic Network Models
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