A Visual Method of Association Analysis for Online Question Answering Community

Abstract

The invention discloses a correlation analysis visualization method oriented to an online question-answer community. The method comprises the following steps: firstly completing the collection of Q&Asequence data, user behavior data and topic data, and preprocessing the collected data; extracting an attribute of a problem and an attribute of an answer for the Q&A sequence data to complete the visualization mapping; designing Q&A sequence visual coding to present the question sequence, the answer sequence, the answer user, the attribute of the topic, and the distribution thereof; designing theuser behavior visual coding to represent the user participative behavior, the class and frequency of the behavior and the corresponding time distribution status; completing the Q&A sequence visualization layout and the user behavior visualization layout. By using the correlation analysis visualization method disclosed by the invention, an analyzer can select the interested Q&A attribute and the corresponding mapping scheme thereof as required so as to comprehensively and flexibly explore the Q&A attribute feature and the correlation relation between the attributes; the multi-time mode and thetime granularity selection are provided for analyzing the multiple community participative behaviors of the user, and a problem of large data time span difference is solved.

Description

technical field [0001] The invention relates to the technical field of information visualization analysis, in particular to an online question-and-answer community-oriented correlation analysis visualization method. Background technique [0002] In recent years, online question-and-answer communities represented by Quora and Zhihu have developed rapidly relying on Web2.0, and have become an important part of Internet knowledge dissemination and exchange. The online question-and-answer community builds questions and answers into a community-based knowledge warehouse, and connects questioners who have information needs with answerers who have relevant knowledge or experience, in a more flexible and user-centered manner. Knowledge exchange and wisdom collision. [0003] However, the popularity of online Q&A communities has brought many challenges to maintaining the healthy and sustainable development of the community. Its data reflects the patterns of community question-and-a...

AI Technical Summary

Problems solved by technology

First of all, statistical analysis methods have problems such as single analysis results and shallow analysis; data mining algorithms have shortcomings such as poor interpretability of analysis results.

At the same time, the existing methods for researching online Q&A community data fail to better combine multiple structural features such as time series and multi-dimensionality of this type of data, and do not mine the laws contained in the relationship between data features and features

Secondly, there are relatively few studies using visualization and visual analysis methods. Existing studies have shortcomings such as simple analysis problems, single visual views, and lack of interaction between views. Multi-angle analysis online Q&A community

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