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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Khon Kaen University
2014-12-01
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| Series: | KKU Engineering Journal |
| Subjects: | |
| Online Access: | https://www.tci-thaijo.org/index.php/kkuenj/article/download/28319/24348 |
| _version_ | 1829497705943007232 |
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| author | Kanda Runapongsa Saikaew Wit Krutkam |
| author_facet | Kanda Runapongsa Saikaew Wit Krutkam |
| author_sort | Kanda Runapongsa Saikaew |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-16T07:57:04Z |
| format | Article |
| id | doaj.art-f44af176d7ea4132a03f57d270ff0e57 |
| institution | Directory Open Access Journal |
| issn | 0125-8273 2286-9433 |
| language | English |
| last_indexed | 2024-12-16T07:57:04Z |
| publishDate | 2014-12-01 |
| publisher | Khon Kaen University |
| record_format | Article |
| series | KKU Engineering Journal |
| spelling | doaj.art-f44af176d7ea4132a03f57d270ff0e572022-12-21T22:38:42ZengKhon 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 |
| spellingShingle | Kanda Runapongsa Saikaew Wit Krutkam Twitter influential users ranking using Twitter user characteristics KKU Engineering Journal Social media Influential users Recommendation Ranking |
| title | 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_short | Twitter influential users ranking using Twitter user characteristics |
| title_sort | twitter influential users ranking using twitter user characteristics |
| topic | Twitter Social media Influential users Recommendation Ranking |
| url | https://www.tci-thaijo.org/index.php/kkuenj/article/download/28319/24348 |
| work_keys_str_mv | AT kandarunapongsasaikaew twitterinfluentialusersrankingusingtwitterusercharacteristics AT witkrutkam twitterinfluentialusersrankingusingtwitterusercharacteristics |