A Study on Social Network Mining

Authors

  • Vishal Mathur
  • Rekha Jain

DOI:

https://doi.org/10.37591/joadms.v6i2.2100

Abstract

Abstract

A rapid increase has been seen in the recent decade in the usage of social media. Web and web 2.0 has made it easy for users to reach out to Twitter, Facebook and other social media platforms. Most of the users depend on these social media platforms for news and opinions on trending topics. This type of dependence on these social media platforms have produced large amount of data in particularly three issues such as size, noise and dynamism. This paper discusses some of the data mining techniques which can be handy in taking out information from the data.

Keywords: Social Network Mining, Learning methods, Mining techniques, Neural Network, Clustering.

Cite this Article

Vishal Mathur, Rekha Jain. A Study on Social Network Mining. Journal of Advanced Database Management & Systems. 2019; 6(2): 36–39p.


Downloads

Published

2019-07-06

Issue

Vol. 6 No. 2 (2019)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.