Tools for analysis of large-scale networks (II) algorithms, analytics and visualization
Twitter has been one of the most used social media in the world. People are using them widely be it “stalking” their idols who post tweets regularly on twitter or reading tweets that are currently hyping the world. However, competitors such as Facebook and Instagram are constantly improving themsel...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/72905 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-72905 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-729052023-03-03T20:44:38Z Tools for analysis of large-scale networks (II) algorithms, analytics and visualization Chua, Wee Hang He Ying Hsu Wen Jing School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering Twitter has been one of the most used social media in the world. People are using them widely be it “stalking” their idols who post tweets regularly on twitter or reading tweets that are currently hyping the world. However, competitors such as Facebook and Instagram are constantly improving themselves in the social media industry with better features and this will result twitter to me outdated and lose out against their competitors. So in order to make twitter stay competitive, improvement need to be made such as allowing user to be more convenience with their search on the tweets and also easily getting in touch with the live updates of tweets. This can be done by creating a platform that integrate these different features of twitter together so as to accommodate their need. In this report, it will show how the platform can be created and also providing possible further improvements and enhancements in the near future. Bachelor of Engineering (Computer Science) 2017-12-12T06:25:06Z 2017-12-12T06:25:06Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72905 en Nanyang Technological University 36 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Computer science and engineering |
spellingShingle |
DRNTU::Engineering::Computer science and engineering Chua, Wee Hang Tools for analysis of large-scale networks (II) algorithms, analytics and visualization |
description |
Twitter has been one of the most used social media in the world. People are using them widely be it “stalking” their idols who post tweets regularly on twitter or reading tweets that are currently hyping the world.
However, competitors such as Facebook and Instagram are constantly improving themselves in the social media industry with better features and this will result twitter to me outdated and lose out against their competitors.
So in order to make twitter stay competitive, improvement need to be made such as allowing user to be more convenience with their search on the tweets and also easily getting in touch with the live updates of tweets. This can be done by creating a platform that integrate these different features of twitter together so as to accommodate their need.
In this report, it will show how the platform can be created and also providing possible further improvements and enhancements in the near future. |
author2 |
He Ying |
author_facet |
He Ying Chua, Wee Hang |
format |
Final Year Project |
author |
Chua, Wee Hang |
author_sort |
Chua, Wee Hang |
title |
Tools for analysis of large-scale networks (II) algorithms, analytics and visualization |
title_short |
Tools for analysis of large-scale networks (II) algorithms, analytics and visualization |
title_full |
Tools for analysis of large-scale networks (II) algorithms, analytics and visualization |
title_fullStr |
Tools for analysis of large-scale networks (II) algorithms, analytics and visualization |
title_full_unstemmed |
Tools for analysis of large-scale networks (II) algorithms, analytics and visualization |
title_sort |
tools for analysis of large-scale networks (ii) algorithms, analytics and visualization |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/72905 |
_version_ |
1759855494376194048 |