A Statistical Model to Determine the Behavior Adoption in Different Timestamps on Online Social Network-Reference-Cited by-同舟云学术

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

Published:2019-10 Issue:4 Volume:10 Page:1-17
ISSN:1947-8208
Container-title:International Journal of Knowledge and Systems Science
language:en
Short-container-title:

Author:

Sarkar Dhrubasish¹^ORCID,Roy Sohom²,Giri Chandan³,Kole Dipak K.⁴^ORCID

Affiliation:

1. Amity University Kolkata, Kolkata, India

2. IBM India Pvt Ltd, Kolkata, India

3. Indian Institute of Engineering Science and Technology, Shibpur, India

4. 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.

Publisher

IGI Global

Subject

Artificial Intelligence,Management of Technology and Innovation,Information Systems and Management,Organizational Behavior and Human Resource Management,Strategy and Management,Information Systems

Reference25 articles.

1. A Preliminary Approach to Domain-Based Evaluation of Users' Trustworthiness in Online Social Networks

2. Twitter mining for ontology-based domain discovery incorporating machine learning

3. CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor

4. Dinisman, T., & Moroz, A. (2017). Understanding Victims of Crime: The Impact of the Crime and Support Needs. Center for Victim Research Repository. Retrieved from http://hdl.handle.net/20.500.11990/855

5. Predicting Personality from Twitter.;J.Golbeck;Proceedings of 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing,2011

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