RETRACTED CHAPTER: Improved DB-SCAN for Detecting Zonal Followers for Small Regions on Twitter

  • Nidhi Jain
  • Basant Agarwal
  • Mukesh Kumar Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 340)


Nowadays, social media is being used by most of the people around the world for expressing sentiments and opinions. Twitter is a very popular social networking website, where people can express their views. A user follows other users to see their updates. Following on the twitter signifies the interest of a user in others’ life and views. A huge number of contacts or followers are increasing globally. Follower counts on twitter users are very important; it shows that you are a renowned personality in society. It can be very useful for Coaching Institutes, Company Products, Colleges and Hospitals etc. A Proposed method is used to find the popularity of any given applications or organizations by finding the zonal followers for small regions. In this paper, a technique is proposed to check out “zonal followers (followers in a particular radius) for small regions” from total followers of an account, based on improved Density Based Clustering Algorithm. Information of zonal followers for small region can be very useful for many business to create their marketing strategies. Experimental results show the effectiveness of the proposed approach.


GPS DBSCAN Zonal follower IMPRDB K means OPTICS Social networking Epsilon 


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Copyright information

© Springer India 2015

Authors and Affiliations

  • Nidhi Jain
    • 1
  • Basant Agarwal
    • 1
  • Mukesh Kumar Gupta
    • 1
  1. 1.Department of Computer Science and EngineeringSwami Keshvanand Institute of Technology, Management and GramothanJaipurIndia

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