Method for detecting social network event based on link prediction

A link prediction and event detection technology, applied in the field of social network analysis, can solve problems such as difficult to take into account statistical characteristics, difficult to describe the stability of network evolution, and ignore the volatility of network evolution

Inactive Publication Date: 2016-11-09
WUHAN UNIV
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Problems solved by technology

However, the above models are only designed for a specific network, and it is difficult to take into account various statistical characteristics, and the performance of different models lacks a unified evaluation standard
At the same time, since the interrelationships before and after each time period of the network are not considered, and the volatility in the network evolution process is ignored, these models are difficult to describe the stability of network evolution and cannot detect events in the network.

Method used

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  • Method for detecting social network event based on link prediction
  • Method for detecting social network event based on link prediction
  • Method for detecting social network event based on link prediction

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Embodiment Construction

[0061] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0062] The method proposed by the invention is based on the similarity analysis of the network evolution sequence, and uses the relevant indicators of link prediction to design an efficient and reasonable algorithm, thereby describing the evolution trend of the network and detecting events in the network.

[0063] please see figure 1 , a social network event detection method based on link prediction (hereinafter referred to as the LinkEvent method) provided by the present invention, based on the similarity analysis of the network evolution sequence, uses the ...

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Abstract

The invention discloses a social network event detection method based on link prediction. First, the algorithm SimC is used to calculate the similarity of each time period for the input network G, and according to the calculation results, the network evolution sequence GraphS is obtained; and then combined on the GraphS The threshold T adopts the event detection algorithm EventD, and outputs the event sequence EventS. The invention helps to analyze the social network evolution, detects important events in the network, and then guides the normal evolution of the network.

Description

technical field [0001] The invention belongs to the technical field of social network analysis, and relates to a link prediction-based social network event detection method LinkEvent (composed of a similarity calculation algorithm SimC and an event detection algorithm EventD), which can uniformly evaluate the volatility of different networks, Based on this, an event detection model is established. Background technique [0002] Social networks are constantly evolving, and network evolution analysis and event detection are important components of social network analysis. Network evolution analysis refers to describing the evolution law by tracking the characteristic changes in different stages of the network, and then analyzing the behavior of network growth and propagation, predicting the future structure, and even intervening artificially to obtain the expected results. Network evolution analysis technology has been widely used in user behavior analysis, message disseminati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
CPCH04L41/142H04L41/147
Inventor 胡文斌王欢杜博严丽平邱振宇聂聪
Owner WUHAN UNIV
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