Abstract
Big social data analysis is an interdisciplinary domain that uses advanced analytics to identify the key influence in a communication network that shrinks and grows rapidly in a near real-time fashion. It brings together various disciplines such as social media analysis, information retrieval techniques, reasoning, natural language processing (opinion mining), graph mining and analysis, linguistics, machine learning, multimedia management and big data processing. The role of big social data analysis in the growth of a business is larger than what meets the eye, but many enterprises are unaware of how this data influence their expansion. The analysis of information gathered from consumer transactions, communication devices, online activities and streaming devices are used to uncover hidden patterns. The right tools and a foolproof strategy are highly important to utilize information from social data to the fullest. The power of social media along with the emerging big data technology offers abundant opportunities for achieving business growth and if channeled properly, it could be leveraged for the betterment of society. The main goal of this paper is to emphasize the opportunities and challenges provided by dynamic social network data with its implications on the society
Highlights
In this iconic age of social media, people are transforming into data agents who share even the tiniest detail of their daily activity on social media
Data crawling through social networks is highly important
The information observed from the study of social data can help us in a great way for the recommendation, personalized marketing, customized promotions, etc. People will enjoy their activities on the internet when they could retrieve all the relevant and personally liked things displayed on their social networks and other search engines
Summary
In this iconic age of social media, people are transforming into data agents who share even the tiniest detail of their daily activity on social media. Online Social Networks (OSNs) churn out data in large volumes with every passing second. People are responsible for multiplying the data into twice as much for every 1.2 years. Statistics reveal that 5.1 billion people own mobile phones or cellular devices which are used to share billions of texts, stream numerous videos and search exhaustively on the internet every single day. To analyze the volumes of data shared on the Internet and to channel them in the right direction is the most intriguing topic of research in the near future. Borko Furht (2010) presented a collection of research articles on the importance of analytics on social networks
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