Analysis of user influence in slashdot
The study accessed and analyzed the interaction between users of Slashdot, a popular science and technology-related news website based on its user comment activity. A social network graph is built by extracting and processing the comment and user information, with the users being connected by ties....
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/43908 |
| _version_ | 1824455328615366656 |
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| author | Tan, Qian Ting. |
| author2 | Ng Wee Keong |
| author_facet | Ng Wee Keong Tan, Qian Ting. |
| author_sort | Tan, Qian Ting. |
| collection | NTU |
| description | The study accessed and analyzed the interaction between users of Slashdot, a popular science and technology-related news website based on its user comment activity. A social network graph is built by extracting and processing the comment and user information, with the users being connected by ties. The ties represent the interdependency between users, which can be both an implicit and explicit type of relationship. In this study, we explored one of the implicit relationships – user’s influence on fellow Slashdot users, based on a comparison of three factors: in-degree, out-degree and comment score. In-degree represents the popularity of a user’s comment; out-degree represents a user’s level of activeness; comment score represents quality of the comment. The result of the study is used to investigate the sustainability of user’s influence across topics. Several interesting observations were made in the data analysis process. First, a user of high popularity does not make him a good writer. Second, a user who is highly active does not mean that he is a good writer. Third, a user whose comment score is high does not always receive good responses. |
| first_indexed | 2025-02-19T03:36:28Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/43908 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:36:28Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/439082023-03-03T20:26:57Z Analysis of user influence in slashdot Tan, Qian Ting. Ng Wee Keong School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences The study accessed and analyzed the interaction between users of Slashdot, a popular science and technology-related news website based on its user comment activity. A social network graph is built by extracting and processing the comment and user information, with the users being connected by ties. The ties represent the interdependency between users, which can be both an implicit and explicit type of relationship. In this study, we explored one of the implicit relationships – user’s influence on fellow Slashdot users, based on a comparison of three factors: in-degree, out-degree and comment score. In-degree represents the popularity of a user’s comment; out-degree represents a user’s level of activeness; comment score represents quality of the comment. The result of the study is used to investigate the sustainability of user’s influence across topics. Several interesting observations were made in the data analysis process. First, a user of high popularity does not make him a good writer. Second, a user who is highly active does not mean that he is a good writer. Third, a user whose comment score is high does not always receive good responses. Bachelor of Engineering (Computer Science) 2011-05-12T08:17:32Z 2011-05-12T08:17:32Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/43908 en Nanyang Technological University 55 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences Tan, Qian Ting. Analysis of user influence in slashdot |
| title | Analysis of user influence in slashdot |
| title_full | Analysis of user influence in slashdot |
| title_fullStr | Analysis of user influence in slashdot |
| title_full_unstemmed | Analysis of user influence in slashdot |
| title_short | Analysis of user influence in slashdot |
| title_sort | analysis of user influence in slashdot |
| topic | DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences |
| url | http://hdl.handle.net/10356/43908 |
| work_keys_str_mv | AT tanqianting analysisofuserinfluenceinslashdot |