Social media sites like Facebook, Twitter, and others have contributed to a dramatic increase in the volume of data travelling over the internet. Information can be gathered from a variety of sources, including satellite-based weather reports, social media posts, and digital photographs and videos. Data of this magnitude lends itself to scientific collection and analysis. Still, one could call this a "big data" set. What we mean when we talk about "big data" is a swath of information that is large, complex, and contains both structured and unstructured forms of information. A variety of sources provide data, including weather sensors, social media, digital photographs and videos, and more. Big data refers to these massive amounts of information. Big data naturally includes information gathered from social networks. This means that the methods used in big data analysis can also be applied to the study of data gleaned from social networks. The goal of this paper is to introduce readers to a variety of techniques used in the study of social network data using big data analysis. We also outline some solvable issues for further study in this area.

Social networks, Big data, Data mining, Hadoop, MapReduce