Network node immune method based on community structure information and threshold
A network node and community structure technology, applied in electrical components, transmission systems, etc., can solve the problems of poor node immunity, lack of flexibility of node immunity, and low effectiveness of node immunity, etc., to achieve flexible immune processing and improve node immunity , reduce the effect of ineffective immunity
Active Publication Date: 2019-04-12
XIDIAN UNIV
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However, the shortcomings of this method are that in the process of information dissemination, the infection rate is described by the distribution function, and the number of nodes spreading rumors is overly dependent, and the effectiveness of node immunity is low.
However, the disadvantage of this method is that it relies too much on the number of network node immunity set in advance, and it is very easy to produce invalid immunity in the process of information dissemination, node immunity lacks flexibility, and the effect of node immunity is poor
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[0033] The present invention will be described in further detail below in conjunction with the figures.
[0034] refer to figure 1 , to further describe in detail the specific steps of the present invention.
[0035] Step 1. Read in a social network graph to be immunized that contains 30 to 10,000 nodes.
[0036] Step 2. Calculate the information propagation probability between nodes.
[0037] Using the cosine similarity formula, calculate the similarity value of each pair of nodes in the social network graph to be immunized.
[0038] The cosine similarity formula is as follows:
[0039]
[0040] Among them, Sim(i,j) represents the similarity value between the i-th node and the j-th node in the social network graph to be immunized, || All connection nodes of nodes, ∩ represents the intersection operation, N(j) represents all connection nodes of the jth node in the social network graph to be immunized.
[0041] Using the network community division method, the community ...
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The invention proposes a network node immune method based on community structure information and a threshold, which overcomes the problems in the prior art that the number of network node immunizations which are set in advance is excessively relied on, the effectiveness of node immunization is low, the node immunization is lack of flexibility, and the node immunization effect is poor. The implementation steps are as follows: step (1), reading a to-be-immunized social network diagram containing 30 to 10000 nodes; step (2), calculating the information propagation probability between nodes; step(3), generating a harmful information node set; step (4), carrying out immune treatment on network nodes; and step (5), respectively outputting the total number of nodes in the harmful information node set and an immune node set. The method provided by the invention depends on the community structure information of the network diagram, calculates the information propagation probability between thenodes, uses the influence and the threshold to form the immune node set, and performs the immune treatment on the network nodes, thereby improving the node immunity.
Description
technical field [0001] The invention belongs to the technical field of communication, and further relates to a network node immunization method based on community structure information and a threshold in the technical field of network communication. The invention can effectively restrain harmful information propagation in the information propagation system by performing node immunity on the complex network abstracted from the information propagation system. Background technique [0002] Abstracting the information dissemination system into a complex network structure is helpful to study the characteristics, functions and security of information dissemination. The information dissemination network is closely related to human life, and it is particularly important to suppress the spread of harmful information in the information dissemination network. In order to ensure the normal operation of the information dissemination system, more and more scholars have begun to study eff...
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IPC IPC(8): H04L29/06
CPCH04L63/306H04L63/308
Inventor 张玮桐尚荣华焦李成王蓉芳马文萍刘芳侯彪王爽刘园园
Owner XIDIAN UNIV