With massive amounts of social media data currently available, social media computing has attracted considerable attention in recent years, which aims to represent, analyze, and extract useful patterns from social media data. Social media computing is one typical cross-discipline of computer science, data mining, natural language process, and social sciences. As an emerging research field, there are various open, unexplored, and unidentified problems. There is a great need for computational models for tasks such as social media pattern analysis and prediction on social media data.
Currently, social media computing faces new challenges in social media data representation, computational models, natural language preprocessing, visualization, and applications. This special issue aims to provide a platform for researchers and practitioners to present their original research works and engineering experiences in social media computing that help develop a better understanding of the many aspects of social media data or demonstrate a novel application based on social media data. Topics include, but are not limited to, the following:
Once accepted by the journal, the authors will be invited to present their works in the Conference of SMP 2021.
Papers submitted to this journal for possible publication must be original and must not be under consideration for publication in any other journals. Read TBD's author information.
Prospective authors should submit an electronic copy of their complete manuscript to ScholarOne Manuscripts with a manuscript type of “Special Issue on Social Media Computing.”
Manuscripts Due: May 15, 2021
First-Round Notification: June 20, 2021
Revisions Due: July 15, 2021
Final Notification: July 31, 2021
Conference: September 3-5, 2021
