Social media shatters the boundaries between the real world and the virtual world. We can now integrate social theories with computational methods to study how individuals (also known as social atoms) interact and how
communities (i.e., social molecules) form. The uniqueness of social media MOLECULE data calls for novel data mining techniques that can effectively handle usergenerated content with rich social relations.
The study and development of these new techniques are under the purview of social media mining, an emerging discipline under the umbrella of data mining. Social Media Mining is the process of representing, analyzing, and extracting actionable patterns from social media data
Social Media Mining, introduces basic concepts and principal algorithms MEDIA MINING suitable for investigating massive social media data; it discusses theories and methodologies from different disciplines such as computer science, data mining, machine learning, social network analysis, network science, sociology, ethnography, statistics, optimization, and mathematics.
It encompasses the tools to formally represent, measure, model, and mine meaningful patterns from large-scale social media data.
Social media mining cultivates a new kind of data scientist who is
SCIENTIST well versed in social and computational theories, specialized to analyze
recalcitrant social media data, and skilled to help bridge the gap from what
we know (social and computational theories) to what we want to know about
the vast social media world with computational tools.