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A Novel Dynamic Network Approach in Social Networking for User Ranking and Prediction

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  • Jala Prem Deevan Prakash
  • P S Naveen Kumar

Abstract

The current years have seen an uncommon blast of interpersonal organization administrations, for example, Twitter, which brags more than 200 million clients. In such huge social stages, the compelling clients are perfect focuses for viral promoting to possibly contact a group of people of maximal size. Most proposed calculations depend on the linkage structure of the separate basic system to decide the data stream and henceforth show a clients impact. From social connection viewpoint, we fabricated a model in light of the dynamic client cooperation’s continually occurring over these linkage structures. Specifically, in the Twitter setting we gathered a guideline of adjusted re tweet correspondence, and afterward planned it to unveil the estimations of Twitter clients. Our examinations on genuine Twitter information showed that our proposed display presents unique yet similarly astute positioning outcomes. Additionally, the directed forecast test demonstrated the rightness of our model.

Suggested Citation

  • Jala Prem Deevan Prakash & P S Naveen Kumar, 2018. "A Novel Dynamic Network Approach in Social Networking for User Ranking and Prediction," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(2), pages 210-215, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i2:id:hcseit18338
    Note: Article URL: https://ijsrcseit.com/CSEIT18338
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