Some notes from reading:

• http://dmml.asu.edu/smm/chapters/SMM-ch1.pdf
• http://dmml.asu.edu/smm/chapters/SMM-ch2.pdf
• http://dmml.asu.edu/smm/chapters/SMM-ch6.pdf
• http://groups.csail.mit.edu/EVO-DesignOpt/groupWebSite/uploads/Site/DSAA_DSM_2015.pdf

Social media shatters the boundaries between the real world and the virtual world. We can now integrate social theories with computational methods Social Atom to study how individuals (also known as social atoms) interact and how Social Molecule communities (i.e., social molecules) form.

Social media mining is the process of representing, analyzing, and extracting meaningful patterns from data in social media, resulting from social interactions. It is an interdisciplinary field encompassing techniques from computer science, data mining, machine learning, social network analysis, network science, sociology, ethnography, statistics, optimization, and mathematics. Social media mining faces grand challenges such as the big data paradox, obtaining sufficient samples, the noise removal fallacy, and evaluation dilemma.