Analysis of Social Media Community Using Optimized Clustering Algorithm

10 Pages Posted: 8 Mar 2018

See all articles by M Gomathi

M Gomathi

Thiagarajar Polytechnic College, Salem

P Shanmugaraja

Sona College of Technology

P Ilanchezhian

Sona College of Technology

K Thangaraj

Sona College of Technology

D Komalavalli

Sona College of Technology

Date Written: November 15, 2017

Abstract

A world covers full of data. People now-a-days mostly used social media for sharing of information. Social media community to gets more number of discussions to get solutions for many issues. Data mining is a technique which can be realistic to sort out patterns from maximum amount of data. The proposed frame work uses clustering algorithm and groups the communities based on their discussions in group. This methodology is enhanced and mountable for real world clustering of social media data.

Keywords: Social Media, Data Mining, Clustering

Suggested Citation

Gomathi, M and Shanmugaraja, P and Ilanchezhian, P and Thangaraj, K and Komalavalli, D, Analysis of Social Media Community Using Optimized Clustering Algorithm (November 15, 2017). Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India, Available at SSRN: https://ssrn.com/abstract=3133516 or http://dx.doi.org/10.2139/ssrn.3133516

M Gomathi (Contact Author)

Thiagarajar Polytechnic College, Salem ( email )

Salem, Tamil Nadu
India

P Shanmugaraja

Sona College of Technology ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

P Ilanchezhian

Sona College of Technology ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

K Thangaraj

Sona College of Technology ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

D Komalavalli

Sona College of Technology ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

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