CAJ | 학술논문

利用复杂网络的方法研究淘宝网在线评论行为特征,对化妆水品类下具有追加评论的的群体,构建了一个二分网络模型,并探讨了追加评论网络的分布特征,以及在线评论网主要簇群的特征。通过对评论者发起评论的时间特征进行分析,发现普通评论的时间分布有两个明显的“峰”,追加评论的时间分布则表现为长尾分布特征,这说明了不同的评论形式具有特定的时间规律性。
이용복잡망락적방법연구도보망재선평론행위특정,대화장수품류하구유추가평론적적군체,구건료일개이분망락모형,병탐토료추가평론망락적분포특정,이급재선평론망주요족군적특정。통과대평론자발기평론적시간특정진행분석,발현보통평론적시간분포유량개명현적“봉”,추가평론적시간분포칙표현위장미분포특정,저설명료불동적평론형식구유특정적시간규률성。
By using the method of complex networks on taobao, com online review behavioral characteristics, a bipartite graph network model for make-up water category was built. The distribution of appended online review and the characteristics of the main cluster were discussed. Through the analysis of time characteristics, found the average review time distribution has two obvious ＂peak＂ , appended online review period distribution follows the long tail distribution, which observed their special discipline.