A review on to rise up the marketing tactics in social networking site by looking out the key users

Abstract

On-line Social Networks (SNSs) are today one of the most popular interactive medium to communicate, share and disseminate a considerable amount of human life information. Daily and continuous communications imply the exchange of several types of content, including free text, image, audio and video data. According to Face book statistics1 average user creates 90 pieces of content each month, whereas more than 30 billion pieces of content (web links, news stories, blog posts, notes, photo albums, etc.) are shared each month. The huge and dynamic character of these data creates the premise for the employment of web content mining strategies aimed to automatically discover useful information dormant within the data which helps marketing. They are instrumental to provide an active support in complex and sophisticated tasks involved in SNS management, such as for instance access control or information filtering. This paper aims to focus on four important works i.e. Identifying the target users, Designing of market strategy/plan, Building the marketing network (groups) & Statistical analysis of categories. Influentially of target user has been discussed with real time instances. Categories have been found based on their influence by using clustering technique. Lastly, ended with statistical analysis that includes graphical representation of highly influenced users. Further this paper helps to extract emotional feelings of the user so that any related articles, posts or videos can be posted to that user.

Keywords: Social Network; Advertising; Marketing; Clustering.