Big data analytics has revolutionized social science research by enabling the extraction of valuable insights from extensive and diverse datasets. This paper examines the challenges and methodologies involved in the big data analytics process within the realm of social science research. The paper presents a concise overview of research challenges in big data analysis for social science researchers, beginning with an exploration of the architecture of big data analytics. Additionally, it provides a taxonomy of big data research specific to social science, outlining key considerations and methodologies. Finally, the paper concludes by discussing future directions for advancing big data analytics in social science research.