The aim of present research is to examine the influence of identified factors on efficacy of electronic word-of-mouth (e-WOM) for selected e-retailers on social media platform Twitter, applying data mining technique through python software programming. Taking the use of different programming and context as a research gap, the relationship among three important factors viz; network related, text related and time related factors and their influence on e-WOM has been examined on randomly tracked 2582 tweets about two of the reputed Indian e-retailers, Snapdeal and Flipkart. This study may be of immense help to e-retailers in identifying their reference customers (influential customers) on social media platform which in turn may be channelized for the purpose of viral marketing and other communication campaigns.<\/p>","DOI":"10.4018\/ijossp.311838","type":"journal-article","created":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T19:59:51Z","timestamp":1665777591000},"page":"1-22","source":"Crossref","is-referenced-by-count":0,"title":["Identifying Factors Influencing E-WOM on Social Networking Sites"],"prefix":"10.4018","volume":"13","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-4211-8715","authenticated-orcid":true,"given":"Noopur","family":"Agrawal","sequence":"first","affiliation":[{"name":"Shaheed Bhagat Singh College, University of Delhi, India"}]},{"given":"Aditya P.","family":"Tripathi","sequence":"additional","affiliation":[{"name":"Shyam Lal College (Evening), University of Delhi, India"}]},{"given":"Priti","family":"Jagwani","sequence":"additional","affiliation":[{"name":"Aryabhatta College, India"}]}],"member":"2432","reference":[{"key":"IJOSSP.311838-0","doi-asserted-by":"publisher","DOI":"10.2501\/IJMR-2014-043"},{"issue":"3","key":"IJOSSP.311838-1","first-page":"1339","article-title":"The effect of social media on brand image and brand loyalty in generation Y. 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