In-silico Models for Capturing the Static and Dynamic Characteristics of Robustness within Complex Networks
Understanding the role of structural patterns within complex networks is essential to establish the governing principles of such networks. Social networks, biological networks, technological networks etc. can be considered as complex networks where information processing and transport plays a centra...
Main Author: | Kamapantula, Bhanu K |
---|---|
Format: | Others |
Published: |
VCU Scholars Compass
2015
|
Subjects: | |
Online Access: | http://scholarscompass.vcu.edu/etd/4049 http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=5057&context=etd |
Similar Items
-
In Silico Modeling: the Human Factor
by: Marta Bertolaso, et al.
Published: (2016-06-01) -
A data-driven computational model enables integrative and mechanistic characterization of dynamic macrophage polarization
by: Chen Zhao, et al.
Published: (2021-02-01) -
Robustness of Complex Networks Considering Attack Cost
by: Chengwang Wang, et al.
Published: (2020-01-01) -
Robustness of Smart Manufacturing Information Systems under Conditions of Resource Failure: A Complex Network Perspective
by: Zhiting Song, et al.
Published: (2018-01-01) -
SkinBug: an artificial intelligence approach to predict human skin microbiome-mediated metabolism of biotics and xenobiotics
by: Shubham K. Jaiswal, et al.
Published: (2021-01-01)