A novel approach for influence maximization in social networking

Arshdeep Brar, Rajbhupinder Kaur

Abstract


The social networking sites today are becoming
important platforms for effective viral marketing practice. They
are now becoming a huge dissemination and marketing platform,
allowing information and ideas to influence a large population in
a short period of time. In this paper, a modified improved and
novel technique based on Greedy algorithm is implemented.
Two methods, namely modified Greedy algorithm and modified
weighted Greedy algorithm, for influence maximization in social
networking are proposed. The result of proposed implementation
are validated and compared with the existing algorithms.

Keywords- Influence maximization, social networking, greedy
algorithm


Full Text:

PDF


DOI: https://doi.org/10.26483/ijarcs.v7i6.2737

Refbacks

  • There are currently no refbacks.




Copyright (c) 2016 International Journal of Advanced Research in Computer Science