On the Visualization of Online Reputation

碩士 === 國立臺灣大學 === 資訊管理學研究所 === 98 === With the development of Internet, more and more people are sharing their ideas and views via the World Wide Web. These opinions represent the reaction from the public discussions toward the target; the targets can realize their strengths and improve weaknesses t...

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Bibliographic Details
Main Authors: Ting-Ying Huang, 黃婷穎
Other Authors: 莊裕澤
Format: Others
Language:en_US
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/98719146277343513895
Description
Summary:碩士 === 國立臺灣大學 === 資訊管理學研究所 === 98 === With the development of Internet, more and more people are sharing their ideas and views via the World Wide Web. These opinions represent the reaction from the public discussions toward the target; the targets can realize their strengths and improve weaknesses through the public opinion. In any circumstances, figuring out the public’s opinions is a key factor to enhancing competitiveness for both corporate groups and celebrities. However, there are no quantified indexes to interpret the opinions, and it is also a complex task to analyze them. Therefore, we proposed an index, called “Reputation” to represent the overall public opinions. The index is an aggregation of the whole public opinion. It consists of two dimensions: “Sentiment score” and “Support”. We used a weighted average method to aggregate opinions, which formed the final reputation of an entity. This entity is the attitudes from the public. In addition, we further measured the impact of the opinions to other people. The goal of quantifying the impact value is to let corporate groups and celebrities realize their own reputation as well as the impact of public opinions. In order to clearly understand this, we proposed a visualization system to display these indexes. We will use the characteristic of Bubble Chart which can simultaneously display multiple dimensions to differentiate multiple targets’ indexes. Moreover, we also apply circle packing display to visualize hierarchy distribution within each entity.