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DOI: 10.14569/IJACSA.2020.0110454
PDF

A Review of Critical Research Areas under Information Diffusion in Social Networks

Author 1: Surbhi Kakar
Author 2: Monica Mehrotra

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 4, 2020.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: An online social network is a network where people exchange their ideas or opinions. Exchange of ideas between users leads to spread of information at a larger scale in the social networks. This spread of information is also called information diffusion. This work is dedicated to identifying research areas under the umbrella of Information Diffusion. The objective of this work is to present an extensive review of such areas, identify the existing research gaps and explore future directions of work. The review also identifies the methodologies, features and aspects studied in the current literature and proposes the optimal feature set to improve performance. This review will enable researchers to quickly identify the research areas, the current gaps and steer them into the possible future directions associated with them.

Keywords: Information diffusion; influence maximization; retweet prediction; influence models

Surbhi Kakar and Monica Mehrotra, “A Review of Critical Research Areas under Information Diffusion in Social Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110454

@article{Kakar2020,
title = {A Review of Critical Research Areas under Information Diffusion in Social Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110454},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110454},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {4},
author = {Surbhi Kakar and Monica Mehrotra}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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