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Investigating negative reviews and detecting negative influencers in Yelp through a multi-dimensional social network based model
Institution:1. DII, Polytechnic University of Marche, Italy;2. DIII, University of Pavia, Italy;1. School of Management, University of Science and Technology of China, No. 96, JinZhai Road, Hefei, Anhui 230000, China;2. School of Management, Hefei University of Technology, No. 193, TunXi Road, Hefei, Anhui 230000, China;3. International Institute of Finance, School of Management, University of Science and Technology of China, No.96, JinZhai Road, Hefei, Anhui 230000, China;1. Research Center for Advanced Science and Technology, The University of Tokyo, Japan;2. Department of Technology Management for Innovation, The University of Tokyo, Japan;3. Research Institute of Economy, Trade, and Industry (RIETI), Japan;1. School of Management, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an, Shaanxi, 710049, China;2. ERC for Process Mining of Manufacturing Services in Shaanxi Province, 28 Xianning West Road, Xi’an, Shaanxi, 710049, China;3. Department of Management & Entrepreneurship, Driehaus College of Business, DePaul University, 1 E. Jackson Blvd., Chicago, IL, 60604, USA;1. Department of Telecommunications (Government of India), New Delhi, India;2. Indian Institute of Management Indore, Prabandh Shikhar, Rau-Pithampur Road, Madhya Pradesh, Indore, India;1. Department of Finance and Decision Sciences, School of Business, Trinity University, San Antonio, TX 78212, USA;2. Department of Marketing, Information Systems, and Decision Sciences, Anderson School of Management, University of New Mexico, Albuquerque, NM 87131, USA
Abstract: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.
Keywords:Yelp  Multi-dimensional model  Negative influencers  Negative reviews  Social Network Analysis  User stereotypes  Homophily
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