公开(公告)号：US20160330089A1

公开(公告)日：2016-11-10

申请号：US14706940

申请日：2015-05-07

Applicant: KUWAIT UNIVERSITY

Inventor： GHUFRAN ABDULLAH AL-SHIRIDAH ,  KHALED MAHDI ,  MAYTHAM SAFAR

IPC: H04L12/26

CPC classification number: G06Q50/01 ,  H04L41/145 ,  H04L41/16

Abstract: The system and method for determining the feedback capacity of information distributed in a complex network determines feedback capacity as information is received and diffused throughout the network. Traditionally, real networks, such as computer networks, were used in determining network feedback. However, current complex networks typically incorporate graphing models for network analysis. The system and method provide a process to determine the quality of a complex network with respect to feedback capacity, such as can be determined by a corresponding Belief Propagation algorithm and a corresponding entropy equation. The system and method can also determine the cyclic entropy per penetration in a to complex network, the depth penetration for nodes in the complex network and a plurality of cycle counts per node in the complex network based on a source node.

Abstract translation: 用于确定分布在复杂网络中的信息的反馈能力的系统和方法确定了在整个网络中接收和扩散信息时的反馈容量。 传统上，真正的网络，如计算机网络，被用于确定网络反馈。 然而，目前的复杂网络通常包含用于网络分析的图形模型。 该系统和方法提供了一种确定复杂网络相对于反馈能力的质量的过程，诸如可以由相应的信念传播算法和对应的熵方程确定。 系统和方法还可以确定复杂网络中每次穿透的循环熵，复杂网络中节点的深度穿透以及基于源节点的复杂网络中每个节点的多个周期计数。