scholarly journals Epidemic dynamics on higher-dimensional small world networks

2022 ◽  
Vol 421 ◽  
pp. 126911
Author(s):  
Haiying Wang ◽  
Jack Murdoch Moore ◽  
Michael Small ◽  
Jun Wang ◽  
Huijie Yang ◽  
...  
2007 ◽  
Vol 79 (3) ◽  
pp. 38002 ◽  
Author(s):  
H Zhao ◽  
Z. Y Gao

Virulence ◽  
2012 ◽  
Vol 3 (2) ◽  
pp. 146-153 ◽  
Author(s):  
Andreas I. Reppas ◽  
Konstantinos Spiliotis ◽  
Constantinos I. Siettos

Author(s):  
Stefan Thurner ◽  
Rudolf Hanel ◽  
Peter Klimekl

Understanding the interactions between the components of a system is key to understanding it. In complex systems, interactions are usually not uniform, not isotropic and not homogeneous: each interaction can be specific between elements.Networks are a tool for keeping track of who is interacting with whom, at what strength, when, and in what way. Networks are essential for understanding of the co-evolution and phase diagrams of complex systems. Here we provide a self-contained introduction to the field of network science. We introduce ways of representing and handle networks mathematically and introduce the basic vocabulary and definitions. The notions of random- and complex networks are reviewed as well as the notions of small world networks, simple preferentially grown networks, community detection, and generalized multilayer networks.


Chemosphere ◽  
2014 ◽  
Vol 117 ◽  
pp. 766-773 ◽  
Author(s):  
Chih-Sheng Lee ◽  
Pei-Jen Su

2021 ◽  
Vol 144 ◽  
pp. 110745
Author(s):  
Ankit Mishra ◽  
Jayendra N. Bandyopadhyay ◽  
Sarika Jalan

2020 ◽  
Vol 102 (6) ◽  
Author(s):  
Ryosuke Yoneda ◽  
Kenji Harada ◽  
Yoshiyuki Y. Yamaguchi

Physics Today ◽  
1998 ◽  
Vol 51 (9) ◽  
pp. 17-18 ◽  
Author(s):  
Gloria B. Lubkin

2005 ◽  
Vol 72 (6) ◽  
Author(s):  
J. P. L. Hatchett ◽  
N. S. Skantzos ◽  
T. Nikoletopoulos

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