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A method and system for predicting social network information dissemination trends

A technology of information dissemination and social network, applied in the field of social network information dissemination trend prediction, can solve problems such as difficult to achieve real-time, information push, hotspot lag, etc., achieve independence and portability, low memory cost, and reduce lag sexual effect

Active Publication Date: 2017-07-07
INST OF INFORMATION ENG CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a real-time, effective, and fast method and system for predicting the trend of social network information dissemination, which is used to solve the problems in the prior art in the process of social network information dissemination, hot spot discovery lag, Information push and network public opinion monitoring are difficult to achieve real-time performance and other issues

Method used

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  • A method and system for predicting social network information dissemination trends
  • A method and system for predicting social network information dissemination trends
  • A method and system for predicting social network information dissemination trends

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Embodiment Construction

[0053] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0054] Such as figure 1 As shown, a method for predicting the dissemination trend of social network information includes the following steps:

[0055] Step 1: Obtain the information data and user data in the social network, and store the information data and user data in the database;

[0056] Step 2: Obtain user data from the database, count user categories and the distribution of user categories on different social networking sites, and then calculate the Diffusion_Info user category distribution vector;

[0057] Step 3: Obtain information data from the database, count information dissemination trends at time intervals, and use the obtained time series as the characteristics of heat trends in information dissemin...

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Abstract

The invention relates to a method and system for predicting the social network information transmission trend. The method includes the steps that information data and user date in a social network are obtained, and a user categorical distribution vector is calculated by means of the user data; normalization processing is carried out on the information data; smoothing processing is conducted on the normalized information data through a moving average method, a Diffusion-Info user categorical distribution vector is combined to figure out predicted points of the information transmission trend, and an information transmission trend line is drawn; a plurality of basic information transmission curves obtained through a K-SC algorithm and the information transmission trend line are fitted to obtain a follow-up trend line of the information transmission trend prediction line. According to the method and system, information transmission capacity can be estimated as soon as possible, hysteresis of a traditional method is reduced, and assistance is provided for timely pushing of information and timely control of public opinions of the social network; meanwhile, when the system operates, cost of an internal storage is low, and high efficiency, independence and transportability are achieved.

Description

technical field [0001] The present invention relates to the field of information dissemination in social networks, in particular to a method and system for predicting the trend of information dissemination in social networks. Background technique [0002] At present, the Internet has become an important way for people to obtain information, especially with the rapid rise of various social networking sites, more convenient information acquisition and faster information dissemination follow. The more information comes to people through the Internet, the more problems will arise. Social networks have formed a huge online social group and built close online interpersonal relationships. However, this unprecedented information dissemination advantage and huge influence, how to maximize its advantages, get rid of its disadvantages, and make the social network, an online society, full of positive energy has become the driving force and goal of this method. [0003] Information dis...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06Q10/04
CPCG06F16/958G06Q50/01
Inventor 于延宇胡玥李歌李丹
Owner INST OF INFORMATION ENG CHINESE ACAD OF SCI
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