Specific-tendency high-influence user group discovering method orienting microblog

A technology with influence and user groups, applied in special data processing applications, instruments, electronic digital data processing, etc., it can solve the problems of ignoring the relationship between influence and Weibo content or theme, and cannot reflect the real situation, and achieve a simplified network structure. , the effect of reducing the amount of data

Active Publication Date: 2013-04-24
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0007] The present invention provides a method for discovering high-influence user groups oriented to specific tendencies of microblogs, aiming to solve the problem that existing method

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  • Specific-tendency high-influence user group discovering method orienting microblog
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  • Specific-tendency high-influence user group discovering method orienting microblog

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Embodiment Construction

[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0050] Such as figure 1 and figure 2 As shown, the present embodiment provides a method for discovering high-influence user groups oriented to specific tendencies of microblogs, and the method includes the following steps:

[0051] Step S1: Microblog data capture.

[0052] In this step, the data on the microblog website is captured to obtain existing microblog data, including the content of the microblog and all users involved in the microblog. The captured data includes: user ID, user name, microblog content, microblog serial number, and user IDs participating in forwarding and commenting; the...

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Abstract

The invention relates to the technical field of social media data analysis and mining and provides a specific-tendency high-influence user group discovering method orienting microblog. The method includes: S1, capturing data on a microblog website; S2, analyzing the obtained data, and finding a different theme corresponding to each microblog; S3, building a new microblog network topology structure; S4, analyzing special tendency and an active degree of users, and calculating spreading probability among the users; and S5, finding a user group having the largest influence and orienting a specific theme. The method considers the topology structure of the microblog and the content and themes of the microblog comprehensively and can reflect the real condition.

Description

technical field [0001] The invention relates to the technical field of social media data analysis and mining, in particular to a method for discovering high-influence user groups oriented to specific tendencies of microblogs. Background technique [0002] Weibo has become one of the important platforms and media for people to socialize. There are more than 400 million Weibo users in China, while Twitter users are more than 500 million, and the daily sending volume of information exceeds 200 million. Facebook's second largest social networking site. In recent years, Weibo has become the birthplace of countless hot topics and trends. With the help of an effective communication model to find high-influence user groups, for enterprises, it is possible to obtain the largest range of advertising at the lowest cost; for the government, it is possible to effectively control part of the information in Weibo. Propagation is under certain control. Therefore, studying information dis...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 刘斯尧赵中英冯圣中
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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