@article{(Open Science Index):https://publications.waset.org/pdf/10001032, title = {A Long Tail Study of eWOM Communities}, author = {M. Olmedilla and M. R. Martinez-Torres and S. L. Toral}, country = {}, institution = {}, abstract = {Electronic Word-Of-Mouth (eWOM) communities represent today an important source of information in which more and more customers base their purchasing decisions. They include thousands of reviews concerning very different products and services posted by many individuals geographically distributed all over the world. Due to their massive audience, eWOM communities can help users to find the product they are looking for even if they are less popular or rare. This is known as the long tail effect, which leads to a larger number of lower-selling niche products. This paper analyzes the long tail effect in a well-known eWOM community and defines a tool for finding niche products unavailable through conventional channels. }, journal = {International Journal of Electronics and Communication Engineering}, volume = {9}, number = {6}, year = {2015}, pages = {1378 - 1382}, ee = {https://publications.waset.org/pdf/10001032}, url = {https://publications.waset.org/vol/102}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 102, 2015}, }