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Social network event evolution tracking method based on time division

A technology of event evolution and time division, applied in the information field, can solve problems such as inability to intuitively understand the event development process, error directed edges, and complex evolution relationships, and achieve the effect of improving the effect of event evolution tracking

Inactive Publication Date: 2019-11-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

There is an error in using the start time as the estimation of the occurrence time of the event. This method will get wrong directed edges, which will eventually affect the generation result of the evolution graph.
In addition, the evolution relationship in the evolution diagram is relatively complicated, and it is impossible to intuitively understand the development process of the event
The results of the evolution process can be obtained by using spanning trees and evolution chains, but there is still a lack of reasonable and effective methods

Method used

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  • Social network event evolution tracking method based on time division
  • Social network event evolution tracking method based on time division
  • Social network event evolution tracking method based on time division

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Embodiment Construction

[0040] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0041] Such as figure 1 Shown is the method flowchart of the present invention, comprises the following steps:

[0042] 1. Data preparation

[0043] 11. The source of the original data in the present invention is to collect the text information in the dynamics posted by users from various social networking sites, such as LinkedIn, Twitter, Weibo, etc. at home and abroad.

[0044] 12. Event Feature Extraction

[0045] The features of the extracted events are mainly extracted from the aspects of "text features" and "time features". Commonly used text feature extraction methods include term frequency-inverse document frequency (Term Frequency-Inverse Document Frequency, TF-IDF), information gain, mutual information, etc. The present invention us...

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Abstract

The invention discloses a social network event evolution tracking method based on time division, is applied to the technical field of information, and aims to solve the problem of tracking errors of an evolution tracking method in the prior art. The method comprises the steps that firstly, collecting text information in a user publishing dynamic state from all social networking sites, and conducting event feature extraction on the text information; secondly, obtaining a plurality of event evolution relationships according to the obtained events, and generating an event evolution graph by adopting a time division method; then selecting a starting event and a terminating event according to the focus event of interest; and finally, solving an optimal path to each event by using a viterbi algorithm. Compared with an existing method, the event evolution tracking effect is better.

Description

technical field [0001] The invention belongs to the field of information technology, in particular to a social network event evolution tracking technology. Background technique [0002] An event is something that happened at a particular place at a particular time. The current social network is widely welcomed by network users due to its convenience, so many events in real life will be reflected in the social network. Social network event detection can discover real-life events in real time based on social network data, which plays a very important role in obtaining first-hand information from social networks. [0003] Event evolution (Event Evolution, EE) refers to the dissemination and development process of related events under the same topic. The event evolution relationship refers to the directed dependency relationship between two events. Many events in life have their occurrence, development, and end stages, and each stage may contain some sub-events. Therefore, r...

Claims

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Application Information

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IPC IPC(8): G06F16/901G06K9/62G06Q50/00
CPCG06F16/9024G06Q50/01G06F18/22
Inventor 费高雷李建博胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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