User response to e-WOM in social networks: how to predict a content influence in Twitter

Bibliographic Details
Title: User response to e-WOM in social networks: how to predict a content influence in Twitter
Authors: Dahka, Zohreh Yousefi, Hajiheydari, Nastaran, Rouhani, Saeed
Source: International journal of internet marketing and advertising. 14(1):91-111
Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100109619334.0x000001&indx=1&recIds=ETOCvdc_100109619334.0x000001
Database: British Library Document Supply Centre Inside Serials & Conference Proceedings