A Review on Big Data and Social Network Analytics Techniques

Researchpedia Journal of Computing, Volume 1, Issue 1, Article 5, Pages 39-49, June 2020

Muhammad Nouman Noor¹, and Farah Haneef²

¹Department of Computer Science, Hitec University, Taxila, Pakistan
²Department of Computer Science, Quaid-e-Azam University, Islamabad, Pakistan
Corresponding author: Muhammad Nouman Noor (e-mail: mnoumannoor93@gmail.com).

ABSTRACT Social media and social networks assist people to furnish opinion and to provide feedback about a product or a service, which pay immense influence on the businesses. By utilizing such data, businesses may grow up or mislay their customers and revenue generation. The data generated in a social network may vary enormous and may not be analyzed by traditional approaches. In this regard, machine learning techniques help businesses to be mature. Machine learning is a domain which provides schemes to learn and extract important patterns from the data, without being program explicitly. This paper provides opportunity for upcoming researchers to find research gaps about machine learning techniques those have not applied so far for social network analytics and also provided discussion / summarization of tools that are effective for Social Network Analytics and Big Data.

Keywords Big data; data analysis; machine learning; predictions; social networks.