International Journal of Technology Research and Management Beta

ISSN (Online): 2348-9006
* UGC Approved Journal *
* Till 02/05/2018 *
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Notice Board :

Call for Paper
Vol. 7 Issue 10

Submission Start Date:
OCT 01, 2020

Acceptence Notification Start:
OCT 10, 2020

Submission End:
OCT 25, 2020

Final MenuScript Due:
OCT 30, 2020

Publication Date:
OCT 30, 2020
                         Notice Board: Call for PaperVol. 7 Issue 10      Submission Start Date: OCT 01, 2020      Acceptence Notification Start: OCT 10, 2020      Submission End: OCT 25, 2020      Final MenuScript Due: OCT 30, 2020      Publication Date: OCT 30, 2020




Volume VI Issue XII

Paper Title
An Unsupervised Approach for Community Detection over Social Media Through Social Theory
Author Name
Prakrati Bhargava, Mayank Namdev
Year Of Publication
2019
Volume and Issue
Volume 6 Issue 12
Abstract
Advancements in web technologies in conjunction with the advent of social media facilitate online users to share contents and interact on a shared platform. Social media mining allows users to visualize, evaluate, analyze, and extract meaningful patterns and trends over the social network. Numerous methods and algorithms have been presented for the massive investigation of social media data. Community detection over social media is the most attracting field of interest for researchers in the area of social media mining. Community detection is a process of identifying densely connected network nodes and forming a group or community based on the density of interconnection among them. Detection of such communities is very crucial for a variety of applications in order to analyze the social network.
PaperID
2019/IJTRM/12/2019/30389