Twitter influential users ranking using Twitter user characteristics

Social media sites have experienced an explosion in both the number of users and the amount of user-contributed content in recent years. There is the need for the solution for information overload in social media. In this paper, we focus on solving the problem of finding relevant Twitter users to fo...

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Bibliographic Details
Main Authors: Kanda Runapongsa Saikaew, Wit Krutkam
Format: Article
Language:English
Published: Khon Kaen University 2014-12-01
Series:KKU Engineering Journal
Subjects:
Online Access:https://www.tci-thaijo.org/index.php/kkuenj/article/download/28319/24348
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spelling doaj-f44af176d7ea4132a03f57d270ff0e572020-11-25T00:24:45ZengKhon Kaen UniversityKKU Engineering Journal0125-82732286-94332014-12-01414547554Twitter influential users ranking using Twitter user characteristicsKanda Runapongsa SaikaewWit KrutkamSocial media sites have experienced an explosion in both the number of users and the amount of user-contributed content in recent years. There is the need for the solution for information overload in social media. In this paper, we focus on solving the problem of finding relevant Twitter users to follow and selecting only popular tweets to post, we have collected information about Twitter users, particularly the number of influential users who are followers, the number of general followers, and the number of tweets that are frequently retweeted. Then we used such statistics information to compute the user rankings. In addition, we also created a Twitter account to automatically post only tweets that have been retweeted many times. Based on the survey result and using the Spearman’s rank correlation coefficient, the recommended Twitter users suggested by the system have proven to be popular and pertinent, and the rank order by the proposed system has a statistical significant degree of similarity with the user survey result. https://www.tci-thaijo.org/index.php/kkuenj/article/download/28319/24348TwitterSocial mediaInfluential usersRecommendationRanking
collection DOAJ
language English
format Article
sources DOAJ
author Kanda Runapongsa Saikaew
Wit Krutkam
spellingShingle Kanda Runapongsa Saikaew
Wit Krutkam
Twitter influential users ranking using Twitter user characteristics
KKU Engineering Journal
Twitter
Social media
Influential users
Recommendation
Ranking
author_facet Kanda Runapongsa Saikaew
Wit Krutkam
author_sort Kanda Runapongsa Saikaew
title Twitter influential users ranking using Twitter user characteristics
title_short Twitter influential users ranking using Twitter user characteristics
title_full Twitter influential users ranking using Twitter user characteristics
title_fullStr Twitter influential users ranking using Twitter user characteristics
title_full_unstemmed Twitter influential users ranking using Twitter user characteristics
title_sort twitter influential users ranking using twitter user characteristics
publisher Khon Kaen University
series KKU Engineering Journal
issn 0125-8273
2286-9433
publishDate 2014-12-01
description Social media sites have experienced an explosion in both the number of users and the amount of user-contributed content in recent years. There is the need for the solution for information overload in social media. In this paper, we focus on solving the problem of finding relevant Twitter users to follow and selecting only popular tweets to post, we have collected information about Twitter users, particularly the number of influential users who are followers, the number of general followers, and the number of tweets that are frequently retweeted. Then we used such statistics information to compute the user rankings. In addition, we also created a Twitter account to automatically post only tweets that have been retweeted many times. Based on the survey result and using the Spearman’s rank correlation coefficient, the recommended Twitter users suggested by the system have proven to be popular and pertinent, and the rank order by the proposed system has a statistical significant degree of similarity with the user survey result.
topic Twitter
Social media
Influential users
Recommendation
Ranking
url https://www.tci-thaijo.org/index.php/kkuenj/article/download/28319/24348
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