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Big Data Visualization Techniques of Social Media: A Survey

Komal Javalkoti1 , Vipul Joshi2 , Pooja Shah3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 591-594, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.591594

Online published on Mar 31, 2019

Copyright © Komal Javalkoti, Vipul Joshi, Pooja Shah . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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How to Cite this Paper

IEEE Style Citation: Komal Javalkoti, Vipul Joshi, Pooja Shah, “Big Data Visualization Techniques of Social Media: A Survey,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.591-594, 2019.

MLA Style Citation: Komal Javalkoti, Vipul Joshi, Pooja Shah "Big Data Visualization Techniques of Social Media: A Survey." International Journal of Computer Sciences and Engineering 7.3 (2019): 591-594.

APA Style Citation: Komal Javalkoti, Vipul Joshi, Pooja Shah, (2019). Big Data Visualization Techniques of Social Media: A Survey. International Journal of Computer Sciences and Engineering, 7(3), 591-594.

BibTex Style Citation:
@article{Javalkoti_2019,
author = { Komal Javalkoti, Vipul Joshi, Pooja Shah},
title = {Big Data Visualization Techniques of Social Media: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {591-594},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3885},
doi = {https://doi.org/10.26438/ijcse/v7i3.591594}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.591594}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3885
TI - Big Data Visualization Techniques of Social Media: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - Komal Javalkoti, Vipul Joshi, Pooja Shah
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 591-594
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

Big data will be transformative in every sphere of life. But Just to Process and analyze those data is not enough, human brain tends to find pattern more efficiently when data is represented visually. Data Visualization and analytics plays important role in decision making in various sector. Many Visual analytics methods have been proposed across disciplines to understand large-scale structured and unstructured social media data. Current Big data Visualization approaches often reduce high dimension data to low dimension, and omit some data trends or relationships. In exploratory analysis of multivariate datasets, performing an analytical task is often necessary. Such tasks may include extracting characteristics subsets and comparing them.In social network, thousands of people produce data at the same time, and huge amount of data will be produce in seconds. In this paper, survey on a Real time Information Visualization and Analysis framework– RIVA[2]. RIVA to collect data from the social networks, such as Twitter, by using Spark Cloud computing platform to discover popular topics around the world.

Key-Words / Index Term

visual analytic method, unstructured data, structured data, social media data, big data visualization, Apache spark, BladeGraph

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