Microblog User Relationship Acquisition Method Based on Script Engine

Abstract

The invention relates to the technical field of information acquisition, and discloses a method for acquiring microblog user relationships on the basis of script engines. The method includes steps of S1, automatically logging in a microblog website by the aid of a script engine technology; S2, crawling on specific account information in a website acquisition mode to acquire content page information corresponding to the specific account information; S3, analyzing metadata and acquiring a user list, user behavior mechanisms and user basic information; S4, extracting the user relationships; S5, performing breadth-first searching on the user list and enriching the user association relationships. The method has the advantages that the problem of API (application program interface) access restriction is solved, the method is favorable for acquiring microblog information on a large scale, and the information acquisition accuracy is improved.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a script engine-based microblog user relationship collection method. Background technique [0002] With the rapid development of WEB information technology, the research on entity social relationship has been paid close attention by academic and commercial circles. With the development of Weibo, a newly emerging Internet model, social relations are expanding exponentially, such as Facebook, LinkedIn, Sina, etc., which contain a large number of user relationships, and these user relationships have great commercial value hidden. [0003] Microblog user relationship extraction is a basic task for real-time collection of massive microblog information. Microblog user relationship helps to provide a strategy for updating and collecting Weibo information. It can be used as a clue for real-time update and collection of massive information on Weibo, and is the basic reso...

AI Technical Summary

Problems solved by technology

Therefore, the quantity, scope, and frequency of information obtained are limited by Weibo API

This method has some shortcomings. First, the acquisition system can only obtain limited data according to the frequency and scope of application requirements; second, the access frequency is different for different APIs, which affects the dynamic update of data; third, the extracted user information and user relationship is not complete, resulting in low collection rate

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