TIMELY QUARANTINE RUMOUR IDENTIFICATION AND REDUCTION SYSTEM

Authors

  • Ajith Kumar.A Student, Computer Science & Engineering, Panimalar Institute of Technology,Chennai, India
  • Samuel Praveen Kumar.D Student, Computer Science & Engineering, Panimalar Institute of Technology,Chennai, India
  • Ganesh.K.C Student, Computer Science & Engineering, Panimalar Institute of Technology,Chennai, India
  • VenkataLakshmi Professor, Computer Science & Engineering, Panimalar Institute of Technology, Chennai, India

Keywords:

SocialNetwork,Dessemination,SpreadingPath,JordanMethod,Jsp,Servlets,Login,RumourMessage

Abstract

Identifying rumor sources in social networks plays a critical role in limiting the damage
caused by them through the timely quarantine of the sources. However, the temporal variation in the
topology of social networks and the ongoing dynamic processes challenge our traditional source
identification techniques that are considered in static networks. We reduce the time-varying networks
to a series of static networks by introducing a time-integrating window. Then instead of inspecting
every individual in traditional techniques, we adopt a reverse dissemination strategy to specify a set of
suspects of the real rumor source.

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Published

2018-04-25

How to Cite

Ajith Kumar.A, Samuel Praveen Kumar.D, Ganesh.K.C, & VenkataLakshmi. (2018). TIMELY QUARANTINE RUMOUR IDENTIFICATION AND REDUCTION SYSTEM. International Journal of Advance Research in Engineering, Science & Technology, 5(4), 118–125. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1436

Issue

Vol. 5 No. 4 (2018): Volume: 05, Issue: 04 - April, 2018.

Section

Articles