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A Statistical Model to Determine the Behavior Adoption in Different Timestamps on Online Social Network

Author

Listed:
  • Dhrubasish Sarkar

    (Amity University Kolkata, Kolkata, India)

  • Sohom Roy

    (IBM India Pvt Ltd, Kolkata, India)

  • Chandan Giri

    (Indian Institute of Engineering Science and Technology, Shibpur, India)

  • Dipak K. Kole

    (Department of CSE, Jalpaiguri Government Engineering College, Jalpaiguri, India)

Abstract

In this article, a statistical model has been proposed to determine the behavior adoption among the users in different timestamps on online social networks by using vector space models and term frequency – inverse document frequency techniques. The concepts of herd behavior and collective behavior have been used successfully in the proposed model. The result has been generated after analyzing the collected dataset. The result analysis shows the diffusion of information among the participants from an initial timestamp to later timestamps.

Suggested Citation

  • Dhrubasish Sarkar & Sohom Roy & Chandan Giri & Dipak K. Kole, 2019. "A Statistical Model to Determine the Behavior Adoption in Different Timestamps on Online Social Network," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 10(4), pages 1-17, October.
    • Handle: RePEc:igg:jkss00:v:10:y:2019:i:4:p:1-17
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