Method and system for predicting information popularity of social network

Abstract

The invention belonging to the field of social network information analysis makes a request of protecting a method and system for predicting information popularity of a social network. The method comprises steps of data acquisition, attribute extraction, model construction and prediction analysis. An information dissemination network is refined by combining user relationships and node behavior data in a social network; attributes affecting the measure of propagation power are extracted by starting with an individual behavior dimension and a node interaction dimension and related definitions are provided; a dual-weighted social network is constructed again and a node propagating power in the network is measured based on an improved PageRank algorithm; and individual characteristics of an information publisher and forwarding characteristics of the information published within one hour are extracted by using the information as a center and training is carried out by using an LR classifierto obtain an information popularity prediction model. Therefore, the information popularity can be predicted effectively; and a network group event is found out timely and important propagation nodesin the information dissemination network are identified.

Description

technical field [0001] The invention belongs to the field of social network analysis, mainly relates to information dissemination in social networks, and specifically predicts and analyzes information popularity. Background technique [0002] In the current era of popularization of social networks and Web 2.0, social networking sites such as Twitter and Sina Weibo have become important platforms for people to obtain information and express opinions. The information sharing, real-time, interactive and diverse forms of communication of social networks make them have a strong influence in information dissemination, such as "Malaysian Airlines MH370", "US Presidential Election" and other events that attracted the attention of the whole people on Weibo, etc. . In view of the impact of social network information dissemination on people's lives and social development, the analysis and prediction of online social network information dissemination has gradually attracted the attenti...

AI Technical Summary

Problems solved by technology

[0005] Problems solved by the present invention: Aiming at problems such as individual differences in social networks and the strength and weakness of user relationships, the present invention proposes a social network-oriented information popularity prediction method

In general, a method for measuring the spread of nodes is proposed in combination with different node influences and network topologies. From the two aspects of information source drive and early information infection group drive, the prediction of information popularity is more accurate, in order to solve the problem of Provide ideas for issues such as lag in hotspot discovery and difficulty in ensuring real-time network public opinion monitoring

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