Electronic word-of-mouth communities from the perspective of social network analysis

This paper is focused on the identification of influencers that can have an important impact over the decision-making of other users. For this purpose, a popular electronic word-of-mouth community like Ciao.com has been modelled as a social network. Using social network analysis techniques, the existence of influencers is justified by the power law distribution of user participation, and then they are identified using their topological features within the social network. The obtained results reveal that influencers are not determined by the number of performed reviews, but by the variety or scope of their performed reviews and their central position in the consumer network. The main contribution of this research is the identification of influencers based on the participation features of community users. As a difference to other studies, results are not based on surveys or opinions, but on the trace users leave when they post opinions, comments or scores.

[1]  Gareth H. Griffiths,et al.  'Arrivederci CIAO.com, Buongiorno Bing.com' - Electronic word-of-mouth (eWOM), antecedences and consequences , 2011, Int. J. Inf. Manag..

[2]  S. Jang,et al.  Restaurant experiences triggering positive electronic word-of-mouth (eWOM) motivations. , 2011 .

[3]  Osama Abu-Rahmeh.  A statistical mechanics approach for an effective, scalable, and reliable distributed load balancing scheme for grid networks , 2009 .

[4]  Thomas Y. Lee,et al.  Needs-based analysis of online customer reviews , 2007, ICEC.

[5]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[6]  Eric K. Ringger,et al.  Pulse: Mining Customer Opinions from Free Text , 2005, IDA.

[7]  Sergio L. Toral Marín,et al.  The role of Internet in the development of future software projects , 2010, Internet Res..

[8]  Werner Antweiler,et al.  Is All that Talk Just Noise? The Information Content of Internet Stock Message Boards , 2001 .

[9]  Chih-Ping Wei,et al.  Understanding what concerns consumers: a semantic approach to product feature extraction from consumer reviews , 2010, Inf. Syst. E Bus. Manag..

[10]  Ilia D. Dichev.  News or Noise? , 2001 .

[11]  M. Rocío Martínez-Torres,et al.  Analysis of open innovation communities from the perspective of social network analysis , 2014, Technol. Anal. Strateg. Manag..

[12]  K. Pauwels,et al.  Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site , 2009 .

[13]  Tung X. Bui,et al.  The Impact of Electronic-Word-of-Mouth on Digital Microproducts: An Empirical Investigation of Amazon Shorts , 2007, ECIS.

[14]  Michael D. Smith,et al.  All Reviews are Not Created Equal: The Disaggregate Impact of Reviews and Reviewers at Amazon.Com , 2008 .

[15]  G. Lilien,et al.  A multi-stage model of word-of-mouth influence through viral marketing , 2008 .

[16]  Nicholas Vonortas,et al.  Networked research: European policy intervention in ICTs , 2009, Technol. Anal. Strateg. Manag..

[17]  Robert F. Whitelaw,et al.  News or Noise? Internet Postings and Stock Prices , 2001 .

[18]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[19]  D. Bowman,et al.  Managing Customer-Initiated Contacts with Manufacturers: The Impact on Share of Category Requirements and Word-of-Mouth Behavior , 2001 .

[20]  Dimple R. Thadani,et al.  The impact of electronic word-of-mouth communication: A literature analysis and integrative model , 2012, Decis. Support Syst..

[21]  J. Chiou,et al.  How Much can you Trust Online Information? Cues for Perceived Trustworthiness of Consumer-generated Online Information , 2011 .

[22]  Albert-László Barabási,et al.  The physics of the Web , 2001 .

[23]  Junseok Hwang,et al.  Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach , 2012 .

[24]  Yu-Chen Chen,et al.  The value of participation in virtual consumer communities on brand loyalty , 2006, Internet Res..

[25]  Matthew K. O. Lee,et al.  The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities , 2008, Internet Res..

[26]  Bin Gu,et al.  The influence of online word-of-mouth on long tail formation , 2013, Decis. Support Syst..

[27]  Ioannis Stamelos,et al.  Identifying knowledge brokers that yield software engineering knowledge in OSS projects , 2006, Inf. Softw. Technol..

[28]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[29]  Erin M. Steffes,et al.  Social ties and online word of mouth , 2009, Internet Res..

[30]  Mark E. J. Newman,et al.  Power-Law Distributions in Empirical Data , 2007, SIAM Rev..

[31]  Yong Seog Kim,et al.  Assessing the ripple effects of online opinion leaders with trust and distrust metrics , 2013, Expert Syst. Appl..

[32]  Susan J. Winter,et al.  Electronic Word-of-Mouth in Online Environments , 2006 .

[33]  Gianfranco Walsh,et al.  Electronic Word-of-Mouth: Motives for and Consequences of Reading Customer Articulations on the Internet , 2003, Int. J. Electron. Commer..

[34]  Huaping Chen,et al.  Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations , 2009, Int. J. Electron. Commer..

[35]  Ingoo Han,et al.  The Different Effects of Online Consumer Reviews on Consumers' Purchase Intentions Depending on Trust in Online Shopping Mall: An Advertising Perspective , 2011, Internet Res..

[36]  Pradeep Chintagunta,et al.  The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets , 2010, Mark. Sci..

[37]  Ingoo Han,et al.  The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement , 2007, Int. J. Electron. Commer..

[38]  Lars Bo Jeppesen,et al.  Consumers as Co-developers: Learning and Innovation Outside the Firm , 2003, Technol. Anal. Strateg. Manag..

[39]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[40]  Sergio L. Toral Marín,et al.  Modelling Mailing List Behaviour in Open Source Projects: the Case of ARM Embedded Linux , 2009, J. Univers. Comput. Sci..

[41]  R. Westbrook.  Product/Consumption-Based Affective Responses and Postpurchase Processes , 1987 .

[42]  M. Rocío Martínez-Torres,et al.  Application of evolutionary computation techniques for the identification of innovators in open innovation communities , 2013, Expert Syst. Appl..

[43]  Chrysanthos Dellarocas,et al.  Exploring the value of online product reviews in forecasting sales: The case of motion pictures , 2007 .

[44]  Cheol Park,et al.  Information direction, website reputation and eWOM effect: A moderating role of product type , 2009 .

[45]  Yong Liu.  Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .

[46]  Jun Yang,et al.  Experiential goods with network externalities effects: An empirical study of online rating system , 2010 .

[47]  Ingoo Han,et al.  The effect of negative online consumer reviews on product attitude: An information processing view , 2008, Electron. Commer. Res. Appl..

[48]  W. Johnston,et al.  Customer response to dissatisfaction: A synthesis of literature and conceptual framework , 2011 .

[49]  Pei-Yu Sharon Chen,et al.  The Impact of Online Recommendations and Consumer Feedback on Sales , 2004, ICIS.

[50]  M. R. Martínez-Torres,et al.  Current issues and research trends on open-source software communities , 2014, Technol. Anal. Strateg. Manag..

[51]  John Scott.  Social Network Analysis , 1988 .

[52]  Chrysanthos Dellarocas,et al.  The Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback Mechanisms , 2003, Manag. Sci..

[53]  Bin Gu,et al.  Do online reviews matter? - An empirical investigation of panel data , 2008, Decis. Support Syst..

[54]  Martin Bichler,et al.  Identification of influencers - Measuring influence in customer networks , 2008, Decis. Support Syst..

[55]  Andrew J. Czaplewski,et al.  eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty , 2006 .

[56]  P. Chatterjee,et al.  Online Reviews: Do Consumers Use Them? , 2006 .

[57]  V. Dhar,et al.  Does Chatter Matter? The Impact of User-Generated Content on Music Sales , 2007 .

[58]  A. Lindgreen,et al.  Why Pass on Viral Messages? Because They Connect Emotionally , 2007 .

[59]  Chih-Ping Wei,et al.  To whom should I listen? Finding reputable reviewers in opinion-sharing communities , 2012, Decis. Support Syst..

[60]  Kai H. Lim,et al.  Understanding customer knowledge sharing in web-based discussion boards: An exploratory study , 2006, Internet Res..

[61]  Anindya Ghose,et al.  Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets , 2008, Inf. Syst. Res..

[62]  David K. Perry,et al.  Viral Marketing or Electronic Word-of-Mouth Advertising: Examining Consumer Responses and Motivations to Pass Along Email , 2004, Journal of Advertising Research.

[63]  Ling Liu,et al.  Do online reviews affect product sales? The role of reviewer characteristics and temporal effects , 2008, Inf. Technol. Manag..