  There are some shreds of evidence that social opinion polarization leads to
the breakup of the relationship, some in the scale of small communities, but
others can divide large organizations or even a nation. The legacy methodology
to answer the root cause of opinion polarization in the society commonly use
random sampling or questionnaire-based approach, which considered expensive in
term of time and money. On the contrary, the opportunity to employ big data
approach using social media data provides a rich source to investigate several
questions, such as: how social opinion polarization formed, dynamic social
network mechanisms during time-windows observation, identification of dominant
actors and communities. The power of the big data approach lies in the number
of data analyzed, where the more data involved in the process, the more
accurate to describe the population condition. Today, computing power is no
longer become an obstacle to process large-scale data, thus the observation of
the social opinion polarization process is possible.
