Advanced Issues on Topic Detection, Tracking, and Trend Analysis for Social Multimedia
Seungmin Rho, Wenny J. Rahayu, Uyen Trang Nguyen · Advances in Multimedia · 2015
Introduction. In recent years, the smartphone boom has made social media monitoring of news, blogs, Twitter, and Facebook a social phenomenon. Twitter is an online social networking andmicroblogging service that has gainedworldwide popularity with over 500 million active users as of 2012. Even though one tweet may contain at most 140 characters, the number of tweets that are generated daily is enormous and hence they, collectively, could give important clues to several issues such as public opinions, current trends, and burst keywords. If detecting the information could be successfully done, various services related to the information, such as multimedia contents recommendation and trend contents visualization, can be provided. So far, many studies have been carried out for this goal. Therefore, we are looking for efficient and effective meaningful information such as topic and trend detecting/tracking algorithms in SNS (social network services) big data. Each submitted manuscript was blindly reviewed by at least three reviewers consisting of guest editors and external reviewers. After two review processes, nine manuscripts were selected to be included in this special issue. In Summaries of Selected Manuscripts, we briefly summarize these manuscripts.