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The main focus of this article is to reconstruct a susceptible-infected (SI) diffusion model to discover the spreading pattern of news articles for virality detection. For experimental analysis, a dataset of news articles from four domains (business, technology, entertainment, and health) is considered and the articles' rate of diffusion is inferred and compared. This will help to build a recommendation system, i.e. recommending a particular domain for advertisement and marketing. Hence, it will assist to build strategies for effective product endorsement for sustainable profitability.<\/jats:p>","DOI":"10.4018\/ijkss.2019010102","type":"journal-article","created":{"date-parts":[[2019,7,12]],"date-time":"2019-07-12T19:14:09Z","timestamp":1562958849000},"page":"21-37","source":"Crossref","is-referenced-by-count":3,"title":["Reconstructing Diffusion Model for Virality Detection in News Spread Networks"],"prefix":"10.4018","volume":"10","author":[{"given":"Kritika","family":"Jain","sequence":"first","affiliation":[{"name":"Jaypee Institute of Information Technology, Noida, India"}]},{"given":"Ankit","family":"Garg","sequence":"additional","affiliation":[{"name":"Jaypee Institute of Information Technology, Noida, India"}]},{"given":"Somya","family":"Jain","sequence":"additional","affiliation":[{"name":"Jaypee Institute of Information Technology, Noida, India"}]}],"member":"2432","reference":[{"key":"IJKSS.2019010102-0","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-014-0236-y"},{"key":"IJKSS.2019010102-1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935845"},{"key":"IJKSS.2019010102-2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973402.70"},{"key":"IJKSS.2019010102-3","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2741731"},{"key":"IJKSS.2019010102-4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2017.2786545"},{"key":"IJKSS.2019010102-5","doi-asserted-by":"crossref","unstructured":"Fang, A., & Ben-Miled, Z. 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