Location based Social Networks using Spatial Computing

Authors

  • S. Dhivya Undergraduate Student , Senior Assistant Professor Department of Computer Science and Engineering, ,IFET College of Engineering, Villupuram. India
  • Sironmani P Undergraduate Student , Senior Assistant Professor Department of Computer Science and Engineering, ,IFET College of Engineering, Villupuram. India
  • Guru ragaventhiran N Undergraduate Student , Senior Assistant Professor Department of Computer Science and Engineering, ,IFET College of Engineering, Villupuram. India
  • M.O. Ramkumar Undergraduate Student , Senior Assistant Professor Department of Computer Science and Engineering, ,IFET College of Engineering, Villupuram. India

Keywords:

KCG Finder Algorithm –K cover group, Spatial Computing, R-tree algorithm, Geographic information system.

Abstract

Now a days we are using various type of social networking .which include only friends and relatives, not including unknown person without our permission .But the Growth of social networking is location based services. It includes both location and social networking. In the Exiting system, we are using unweighted graph. so we can’t get exact solution. In order to overcome this problem, we move on to weighted social graph which leads to get an exact solution. Here we are using Enhanced SAR tree algorithm which is used to branch and bounding the users in the group. Then K-Cover group algorithm which is used to retrieve the minimum number of users in the group.

Downloads

Published

2016-03-05

How to Cite

Location based Social Networks using Spatial Computing. (2016). International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) , 2(3), 62-71. https://ijerat.com/index.php/ijerat/article/view/121