Authors : T. Asha, Ravinder Singh, S.K. Chandan, V. Sachin and S. Surya
Abstract: With technology advancing by leaps and bounds over the past couple of decades, communication has now become much more convenient. Social media is an effective means of acquiring, organizing and articulating information. Given the large population of people on social media, an idea or information can easily be spread among the users. Social network analysis deals with the analyzing network of structure and with the propagation of information. This opens up opportunity for advertisers who can advertise using viral marketing. Our system uses a novel method of spreading the awareness of a product or an idea in a social network. The system adopts Principal Component Analysis (PCA) technique of determining the threshold value of a user which will help us in obtaining an accurate seed set from an influence maximization algorithm which is a distinct advantage of our system. In addition, the system also provides statistical data regarding the spread of influence useful to the user in decision making process.
T. Asha, Ravinder Singh, S.K. Chandan, V. Sachin and S. Surya, 2016. Visualization Model for Viral Marketing. International Journal of Soft Computing, 11: 418-426.