DocumentCode :
576848
Title :
Feedback Capacity of Random Networks
Author :
Safar, Maytham ; Mahdi, Khaled ; Al-Shiridah, Ghufran
Author_Institution :
Comput. Eng. Dept., Kuwait Univ., Safat, Kuwait
fYear :
2012
fDate :
26-28 Sept. 2012
Firstpage :
231
Lastpage :
238
Abstract :
Internal feedback structure exists in non-hierarchical random network in form of cycles. Diffusion of information from a node to reach out all the rest occurs throughout penetration layers (depths). In each layer, the information credibility or accuracy may be challenged due to internal feedback loops. As the information propagates to subsequent layers, on average, the feedback density heterogeneity in random networks reaches saturation after the third penetration in random networks. The maximum penetration defines the feedback capacity of the network.
Keywords :
feedback; network theory (graphs); social networking (online); feedback density heterogeneity; information credibility; information diffusion; internal feedback loops; internal feedback structure; nonhierarchical random network; random network feedback capacity; throughout penetration layers; Complex networks; Computational modeling; Entropy; Feedback loop; Mathematical model; Social network services; Uncertainty; Complex Networks; Cyclic Entropy; Diffusion; Feedback Diffusion; Social Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network-Based Information Systems (NBiS), 2012 15th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-2331-4
Type :
conf
DOI :
10.1109/NBiS.2012.13
Filename :
6354832
Link To Document :
بازگشت