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Microblog message influence measuring method based on microblog message propagation tree

A technology of microblog messages and measurement methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as economic losses of microblog users

Inactive Publication Date: 2015-04-22
HARBIN ENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Make users avoid being induced by some false advertising messages as much as possible, causing unnecessary economic losses to Weibo users

Method used

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  • Microblog message influence measuring method based on microblog message propagation tree
  • Microblog message influence measuring method based on microblog message propagation tree
  • Microblog message influence measuring method based on microblog message propagation tree

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Experimental program
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Effect test

Embodiment Construction

[0042] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0043] Sina Weibo provides users with a variety of operation interfaces: posting news, following, mentioning, forwarding, replying, and searching. Users publish some messages of less than 140 characters, which will be directly pushed to fans. If the "username" is included in the message, the message will be directly pushed to a specific user. Users can directly follow the users they are interested in, and the news posted by their followers will be pushed to the user's homepage. Users can submit keywords to search Weibo messages or Weibo users through the search interface. These operation interfaces are basically similar to the functions of Twitter.

[0044] The existing calculation of the influence of microblog messages only considers the number of retweets and replies of microblogs to evaluate the influence of messages. The influence brought by the impli...

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Abstract

The invention discloses a microblog message influence measuring method based on a microblog message propagation tree. The method comprises the following steps that messages issued by a user in microblog are obtained, the message types and interaction types of the messages are read, the messages are ranked into a message queue according to the chronological order, and the historical interaction attribute of the user is read; the kth message is read from the message queue, the user issuing the current message serves as a node, the interaction type of the current message serves as an edge and is added into a propagation picture of the previous (k-1) messages, and the propagation picture is processed to form the propagation tree; the influence weight of each edge of the propagation picture is obtained; the influence weights of the edges are added to obtain the microblog message influence. According to the method, the implicit interaction behavior of the micoblog is taken into consideration, and the microblog message influence is comprehensively and effectively calculated.

Description

technical field [0001] The invention belongs to the field of intelligent analysis of network information, in particular to a method for measuring the influence of microblog messages based on a microblog message propagation tree. Background technique [0002] As a media platform for rapid information dissemination, Weibo has become a part of people's lives. With the rise of Twitter in the world, Weibo has developed rapidly. In China, the number of Weibo users has also grown explosively. By August 2011, the number of registered users of Sina Weibo had exceeded 200 million. Microblog users generate a large number of messages every day, which spread rapidly in the microblog network through the interaction between users. Since the news in the microblog network has the characteristics of rapid dissemination and short life cycle, the research on information dissemination in the microblog network is more meaningful. [0003] However, in the current social network research, few sc...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/3328G06F16/322
Inventor 杨武于淼王巍苘大鹏玄世昌
Owner HARBIN ENG UNIV
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