The Social Network and Media Analysis and Mining (SNMAM) is a forum that brings researchers and practitioners to discuss research trends and techniques related to analyzing and mining social network and media data. The 8th SNMAM event will be organized as a track of SIMBig 2023 in Monterrey, México, as an interdisciplinary venue for computer scientists, computer engineers, software engineers and application developers who work on networks and web-based methods.
Social network is a structure formed by a set of entities with some patterns of social interaction. Social Network Analysis (SNA) is focused on uncovering these patterns through network science and graph theory. In the last decades, online social networks (OSNs) have become the most widely used web platforms due to the variety of services they offer to their users. This explosion has led to the diversification of content (text, images, audio, and other) and the sources (e.g., newscasts, newspapers and other companies) in OSNs. The need for processing and analyzing this content and understanding its impact on users' lives has allowed for the rapid development of various techniques for mining and analysis of social media data.
Therefore, SNMAM welcomes experimental and theoretical works on analyzing and mining social network and social media data and their application to real-world problems. Young scientists and researchers from scientific centers, students and graduates, and industrial partners are welcome to participate.
Authors are invited to submit original and innovative papers that break new ground and present insightful results based on your experience in Data Science. SIMBig 2023 has a broad scope, and specific topics of interest include (but are not limited to):