Method for predicting dynamic social network user behaviors

A technology of social network, prediction method, applied in the field of Internet

Inactive Publication Date: 2011-07-06
TSINGHUA UNIV
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is: how to model and predict the dynamic behavior of users in the s...

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  • Method for predicting dynamic social network user behaviors
  • Method for predicting dynamic social network user behaviors
  • Method for predicting dynamic social network user behaviors

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Embodiment Construction

[0084] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0085] Aiming at the scientific and technical problems of "how to model and predict the dynamic behavior of users in social networks from the micro level, how to design efficient model learning algorithms and make them meet the complexity of social networks and the needs of large-scale data processing", the present invention Disclosed is a method and technical solution for predicting user behavior in a dynamic social network based on a computer probabilistic graph model. The technical solution adopts computer technology means such as graph theory, set and matrix theory to formally define user behavior in a dynamic social network, and at the same time A dynamic anti-noise f...

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Abstract

The invention discloses a method for predicting dynamic social network user behaviors based on a computer probability graph model, which comprises the following steps of: 1, performing objective statistical analysis on the dynamic social network user behaviors in terms of social influence, time dependence and network correlation; 2, performing formal definition on the dynamic social network user behaviors by adopting computer technical means such as a graph theory, a set, a matrix theory and the like; 3, establishing a dynamic anti-noise factor graph model according to the definition in the step 2; 4, learning the dynamic anti-noise factor graph model, and estimating a value Theta of a series parameter from given historic records; and 5, predicting the user behaviors according to the Theta to obtain prediction results. By the method, modeling and accurate prediction are performed on the dynamic social network user behaviors from a micro level.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method for predicting dynamic social network user behavior. Background technique [0002] With the popularization of the Internet and the advent of the Web 2.0 era, many large-scale online social networks have achieved great success, such as Facebook, MySpace, Ning and Twitter. Among them, Facebook already has 400 million active users, if regarded as a country, it has become the third largest country in the world. More and more attention makes the study of social network become a very popular research topic. Researchers from various disciplines have shown great interest in social networks. These subjects include mathematics, biology, physics, computing and sociology, among others. A lot of research in the past has focused on the macro level of social networks, such as the distribution of node degrees in graphs, graph diameters, clustering factors, group structures, and ...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 唐杰谭宸浩
Owner TSINGHUA UNIV
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