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Considering the wide range of applications such as viral marketing, political campaigns, social advertisement, and so on, influencing characteristics of users or tweets have attracted several researchers. It is observed from various studies that influential messages or users create a high impact on a social ecosystem. In this study, we assume that public opinion on a social issue on Twitter carries a certain degree of emotion, and there is an emotion flow underneath the Twitter network. In this article, we investigate social dynamics of emotion present in users\u2019 opinions and attempt to understand (i) changing characteristics of users\u2019 emotions toward a social issue over time, (ii) influence of public emotions on individuals\u2019 emotions, (iii) cause of changing opinion by social factors, and so on. We study users\u2019 emotion dynamics over a collection of 17.65M tweets with 69.36K users and observe 63% of the users are likely to change their emotional state against the topic into their subsequent tweets. Tweets were coming from the member community shows higher influencing capability than the other community sources. It is also observed that retweets influence users more than hashtags, mentions, and replies.<\/jats:p>","DOI":"10.1145\/3379340","type":"journal-article","created":{"date-parts":[[2020,3,4]],"date-time":"2020-03-04T11:09:30Z","timestamp":1583320170000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":33,"title":["Emotion Dynamics of Public Opinions on Twitter"],"prefix":"10.1145","volume":"38","author":[{"given":"Debashis","family":"Naskar","sequence":"first","affiliation":[{"name":"Universitat Polit\u00e9cnica de Val\u00e9ncia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanasam Ranbir","family":"Singh","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Guwahati, Assam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Durgesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Guwahati, Assam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sukumar","family":"Nandi","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Guwahati, Assam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eva Onaindia de la","family":"Rivaherrera","sequence":"additional","affiliation":[{"name":"Universitat Polit\u00e9cnica de Val\u00e9ncia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,3,4]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1080\/14742837.2016.1192457"},{"key":"e_1_2_1_2_1","first-page":"15","article-title":"Influence of human emotion expressed through social networks in viral marketing","volume":"26","author":"Amalanathan Anthoniraj","year":"2017","unstructured":"Anthoniraj Amalanathan and S. 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