Detection method and system of Weibo water army based on artificial immune risk theory

Abstract

The invention belongs to the technical field of microblog networks, and discloses a microblog water army detection method and system based on an artificial immunization danger theory. The method is characterized by applying an artificial immunization thought to the detection of the microblog user behavior characteristics and obtaining the microblog user data by using a focused web crawler; describing and defining network water army behaviors through an analysis method based on user behavior characteristics, and distinguishing characteristic attributes of novel network water army and normal users; and finally, applying a signal processing mechanism of an artificial immune danger theory to network water army detection, and detecting water army users in microblogs by adopting a dendritic cellalgorithm DCA of the danger theory. According to the method, the microblog user data is acquired in a Python-based focusing web crawler mode and stored in the database in a structured data mode, a data set is easily acquired in the mode, various behavior data of a user can be reasonably acquired, and the method has the advantages of being short in crawling period, high in data quality and the like.

Description

Technical field [0001] The invention belongs to the technical field of microblog networks, and in particular relates to a microblog naval force detection method and detection system based on the artificial immune danger theory. Background technique [0002] At present, the existing technology commonly used in the industry is as follows: [0003] Weibo network navy refers to those who are motivated by interests to create and spread falsehoods in Weibo by manipulating software robots or navy accounts in order to achieve the purpose of confusing the authenticity of information, guiding the wrong public opinion, and harming the interests of citizens. The general term for spammers such as opinions and spam. Weibo navy detection is the use of some data mining techniques to define high-discrimination characteristics or behavior patterns to discover hidden network navy. [0004] The current main naval inspection methods are as follows: [0005] The navy detection method based on content fea...

AI Technical Summary

Problems solved by technology

[0014] (2) The traditional water army detection method based on environmental features has great difficulties in data acquisition, and the generalizability is low

[0015] (3) At present, the behavior of the water army is becoming more and more complicated. Selecting local and single features for the detection of the water army will have incomplete feature descriptions, which will easily lead to problems such as recognition errors.

[0016] (4) The traditional classification detection method based on user characteristics requires a large number of training data sets, and the detection efficiency is low and the applicability is not high

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