Online social networks are web platforms that provide a variety of services. In such platforms users may share locations and community activities,
post and tag photos and other media contents, as well as contact individuals with similar interests. The rapid growth of online social networks,
as well as the increase in consumption and production of social media, have made the analysis of social networks one of the most relevant
topics of current academic research and industry applications.
SIMBig has becoming an important venue that has attracted computer scientists, computer engineers, software engineers, and application developers who work on networks and web based-methods. Within the general symposium, the Social Network and Media Analysis and Mining (SNMAM) track will provide a forum that brings both researchers and practitioners to discuss research trends and techniques related to social networks and media. Therefore, it will be welcome experimental and theoretical works on social network and media analysis and mining along with their application to real world problems.
Full papers will be reviewed and assessed by the Program Committee. Accepted papers will be published in the proceedings of SIMBig 2018 as well as indexed on DBLP (see the previous published papers here). The best papers could be published in Springer CCIS Series.
We plan to include all the important topics related to social network and media analysis and mining within SNMAM. The topics suitable for SNMAM include, but not limited to:
Paper registration is required, allowing the inclusion of the paper in the conference proceedings.
At least one author of each accepted paper MUST present the paper.
Paper registration and submissions to SNMAM will be handled using the EasyChair system. The address to paper registration is here.