An Event Prediction Method under the Interaction of Internet Hotspots

Abstract

The invention belongs to a prediction method, and particularly relates to an event prediction method under the condition of mutual influence of internet hotspots. The method comprises the following steps: 1, calculating the real-time attention of a single event; 2, calculating the mutual influence degree of the events, and calculating the real-time attention degree under the condition of considering the mutual influence; 3, calculating the probability of each event according to the attention of the event; 4, calculating a short-term attention trend through a plurality of recent time periods; 5, performing prediction; 6, performing sorting: sorting the probabilities obtained in the step 5 to obtain a sorting result which is the sorting condition of the event hotspots. The invention has theremarkable effects that the influence degree between different events is fully considered, so the prediction accuracy is higher.

Description

technical field [0001] The invention belongs to a prediction method, and in particular relates to an event prediction method under the condition that Internet hotspots influence each other. Background technique [0002] The management and control of network information is an important part of Internet information security. Good network information management and control can reduce negative information and speech and highlight positive energy. One of the characteristics of network information is that hotspots are generated irregularly and suddenly, some information is persistent, and some information disappears quickly. If the network hotspot information can be predicted, then the trend of future hotspot information can be predicted in advance, so that manual intervention can be carried out in advance. [0003] Existing prediction methods generally use manual application network, Bayesian algorithm and other methods to make predictions. These prediction methods either have...

AI Technical Summary

Problems solved by technology

These prediction methods either have a huge amount of calculation, or require enough training samples, and often the economic or time overhead cannot meet the requirements.

[0004] In addition, network hotspots often do not appear in isolation. When an event occurs, similar events, opposite events, homophonic events, and events of the same name related to it will be more or less affected. Not reflected in the forecasting method

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