Random evolving networks under the diameter and average connectivity constraint

2007 ◽  
Vol 16 (1) ◽  
pp. 107-112
Author(s):  
Jianguo Liu ◽  
Zhongtuo Wang ◽  
Yanzhong Dang
Keyword(s):  
Average Connectivity ◽  
Evolving Networks ◽  
Connectivity Constraint

scholarly journals STVG: an evolutionary graph framework for analyzing fast-evolving networks

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Ikechukwu Maduako ◽  
Monica Wachowicz ◽  
Trevor Hanson
Keyword(s):  
Evolving Networks

Explosive synchronization on co-evolving networks

2013 ◽  
Vol 103 (4) ◽  
pp. 48004 ◽  
Author(s):  
Guifeng Su ◽  
Zhongyuan Ruan ◽  
Shuguang Guan ◽  
Zonghua Liu
Keyword(s):  
Evolving Networks ◽  
Explosive Synchronization

scholarly journals Evolving networks with distance preferences

2002 ◽  
Vol 66 (3) ◽  
Author(s):  
J. Jost ◽  
M. P. Joy
Keyword(s):  
Evolving Networks

Algorithm for computing the connectivity in planar kinematic chains and its application

2020 ◽  
pp. 095440622098050
Author(s):  
Wenjian Yang ◽  
Huafeng Ding ◽  
Andres Kecskemethy
Keyword(s):  
Minimum Distance ◽  
Distance Matrix ◽  
Individual Characteristics ◽  
Connectivity Matrix ◽  
Practical Application ◽  
Kinematic Chains ◽  
Main Work ◽  
The Face ◽  
Mobility Matrix ◽  
Connectivity Constraint

The number of synthesized kinematic chains usually is too large to evaluate individual characteristics of each chain. The concept of connectivity is useful to classify the kinematic chains. In this paper, an algorithm is developed to automatically compute the connectivity matrix in planar kinematic chains. The main work is to compute two intermediate parameters, namely the minimum mobility matrix and the minimum distance matrix. The algorithm is capable of dealing with both simple-jointed and multiple-jointed kinematic chains. The present work can be used to automatically determine kinematic chains satisfying the required connectivity constraint, and is helpful for the creative design of mechanisms. The practical application is illustrated by taking the face-shovel hydraulic excavator for instance.

Dynamic influence analysis in evolving networks

2016 ◽  
Vol 9 (12) ◽  
pp. 1077-1088 ◽  
Author(s):  
Naoto Ohsaka ◽  
Takuya Akiba ◽  
Yuichi Yoshida ◽  
Ken-ichi Kawarabayashi
Keyword(s):  
Influence Analysis ◽  
Evolving Networks

scholarly journals Clustering Evolving Networks

2016 ◽  
pp. 280-329 ◽  
Author(s):  
Tanja Hartmann ◽  
Andrea Kappes ◽  
Dorothea Wagner
Keyword(s):  
Evolving Networks
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