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A Method for Predicting the Scale of Events in Social Media via Dynamical Properties

A dynamic characteristic, social media technology, applied in the field of predicting the scale of events in social media through dynamic characteristics, can solve problems such as judgment affecting the development of events, malignant development of events, affecting social stability and order, to prevent malignant development, precision Accuracy, reduce labor and cost

Active Publication Date: 2021-11-19
成都智库二八六一信息技术有限公司
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  • Application Information

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Problems solved by technology

At this time, according to the traditional way of accumulating first and then summarizing, because it needs more time for the accumulation of emerging events for relevant analysis and summary, there will inevitably be a lag period. Such a vacuum interval is very likely to affect the development of events. Judgment, missing the best time for public opinion guidance, leading to the natural vicious development of the incident, affecting the normal and stable order of society

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  • A Method for Predicting the Scale of Events in Social Media via Dynamical Properties
  • A Method for Predicting the Scale of Events in Social Media via Dynamical Properties
  • A Method for Predicting the Scale of Events in Social Media via Dynamical Properties

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Embodiment Construction

[0026] The invention discloses a method for predicting the scale of events in social media through dynamic characteristics. The original data used is a collection of content spread by social media. The text data includes text and comments, and the numerical data includes the number of readings, reposts, and comments. , including the following steps:

[0027] (1) Perform unsupervised merging of social media content to generate an event set, then calculate the popularity of each event in the event set, and finally extract the basic popularity events that meet the basic popularity threshold; where the popularity of an event is determined by the number of readings, comments, forwarding Calculated comprehensively based on weighted numbers;

[0028] (2) Sampling the heat of the basic heat event with a variable period. After sampling, the heat of the basic heat event is calculated through the law of variable speed motion in the process of acceleration or deceleration. If the heat of ...

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Abstract

The invention discloses a method for predicting the scale of events in social media through dynamic characteristics. (2) Sampling the heat of the basic heat event with a variable period, and then calculating the heat of the basic heat event is in the process of acceleration or deceleration through the law of variable speed motion after sampling. If the heat of the basic heat event The heat is in the process of accelerating, and the results of the variable speed movement are used to predict whether the basic heat event has the possibility of becoming a large-scale event and the arrival time when it may become a large-scale event. The invention maps event development to variable-speed movement, takes the possible development scale of the event as an expectation, calculates the possibility and arrival time, and can perform more direct and effective real-time measurement of the event scale, with higher efficiency and more accurate accuracy.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for predicting the scale of events in social media through dynamic characteristics. Background technique [0002] With the rapid and high-speed development of the mobile Internet, everyone has entered the era of self-media, the interaction is more real-time and convenient, and the cost is lower. Regardless of the size of events on the Internet or in reality, the rapid and widespread dissemination of social media platforms has gradually deepened their impact on social life, policies and regulations, and people's mentality. Issues such as event monitoring and public opinion guidance have attracted great attention from government departments at all levels and enterprises and institutions. Therefore, the real-time monitoring of social media, especially the prediction of the future development of "potential risk" events is the most important reference in event monitorin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/00
CPCG06Q10/04G06Q50/01
Inventor 陈沁杜梦元
Owner 成都智库二八六一信息技术有限公司