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Investigating negative reviews and detecting negative influencers in Yelp through a multi-dimensional social network based model

机译:通过多维社交网络基于多维社交网络调查yelp中负影响的负面影响

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摘要

In this paper, we propose an investigation of negative reviews and define the profile of negative influencers in Yelp. The methodology adopted to achieve this goal consists of two phases. The first one is theoretical and aims at defining a multi-dimensional social network based model of Yelp, three stereotypes of Yelp users, and a network based model to represent negative reviewers and their relationships. The second phase is experimental and consists in the definition of five hypotheses on negative reviews and reviewers in Yelp and their verification through an extensive data analysis campaign. This was performed on Yelp data represented by means of the models introduced during the first phase. Its most important result is the construction of the profile of negative influencers in Yelp. The main novelties of this paper are: (i) the definition of the two social network based models of Yelp and its users; (ii) the definition of three stereotypes of Yelp users and their characteristics; (iii) the construction of the profile of negative influencers in Yelp.
机译:在本文中,我们提出调查负面评论,并定义yelp中负面影响者的轮廓。实现这一目标的方法包括两个阶段。第一个是理论和旨在定义基于多维社交网络的Yelp,三个刻板印象的Yelp用户型号,以及基于网络的模型来表示负审查者及其关系。第二阶段是实验性的,在yelp的否定审查和审核人员的定义中,通过广泛的数据分析活动进行审查和核查。这对通过在第一阶段期间引入的模型表示的yelp数据进行。其最重要的结果是构建越来越大量影响物的概况。本文的主要新奇是:(i)基于两个社交网络的Yelp及其用户的定义; (ii)叶利布用户三种刻板印象的定义及其特征; (iii)在yelp中构建阴性影响器的谱。

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