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Detecting Influencers in Social Networks Through Machine Learning Techniques

  • Rishabh Makhija
  • Syed Ali
  • R. Jaya Krishna
Conference paper
  • 64 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1141)

Abstract

the online social networks have given access to a new way of communication in society. social networking platforms like facebook, instagram and twitter provide different ways to connect and communicate with people around the world, bringing together the ideas from different parts of the world. in every social network, there would be people who would be influential and can influence other people to their idea. hence, finding an influential person is very important and helps us to spread information more accurately and to more people. in this paper, we worked with machine learning techniques to identify the most influential nodes in the network, studied different methods to determine the best suitable for the network and understood how information cascading techniques can be applied.

Keywords

Influencers Machine learning Triadic closure 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  • Rishabh Makhija
    • 1
  • Syed Ali
    • 1
  • R. Jaya Krishna
    • 2
  1. 1.Department of Information TechnologyManipal University JaipurJaipurIndia
  2. 2.Department of Computer ScienceManipal University JaipurJaipurIndia

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