Challenges of tracking topical discussion networks online
Attempts to map online networks, representing relationships between people and sites, have covered sites including Facebook, Twitter, and blogs. However, the predominant approach of static network visualization, treating months of data as a single case rather than depicting changes over time or betw...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/19187 |
| _version_ | 1848749960999206912 |
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| author | Highfield, Tim Kirchhoff, L. Nicolai, T. |
| author_facet | Highfield, Tim Kirchhoff, L. Nicolai, T. |
| author_sort | Highfield, Tim |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Attempts to map online networks, representing relationships between people and sites, have covered sites including Facebook, Twitter, and blogs. However, the predominant approach of static network visualization, treating months of data as a single case rather than depicting changes over time or between topics, remains a flawed process. As different events and themes provoke varying interactions and conversations, it is proposed that case-by-case analysis would aid studies of online social networks by further examining the dynamics of links and information flows. This study uses hyperlink analysis of a population of French political blogs to compare connections between sites from January to August 2009. Themes discussed in this period were identified for subsequent analysis of topic-oriented networks. By comparing static blogrolls with topical citations within posts, this research addresses challenges and methods in mapping online networks, providing new information on temporal aspects of linking behaviors and information flows within these systems. © The Author(s) 2011. |
| first_indexed | 2025-11-14T07:29:15Z |
| format | Journal Article |
| id | curtin-20.500.11937-19187 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:29:15Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-191872017-09-13T15:44:34Z Challenges of tracking topical discussion networks online Highfield, Tim Kirchhoff, L. Nicolai, T. Attempts to map online networks, representing relationships between people and sites, have covered sites including Facebook, Twitter, and blogs. However, the predominant approach of static network visualization, treating months of data as a single case rather than depicting changes over time or between topics, remains a flawed process. As different events and themes provoke varying interactions and conversations, it is proposed that case-by-case analysis would aid studies of online social networks by further examining the dynamics of links and information flows. This study uses hyperlink analysis of a population of French political blogs to compare connections between sites from January to August 2009. Themes discussed in this period were identified for subsequent analysis of topic-oriented networks. By comparing static blogrolls with topical citations within posts, this research addresses challenges and methods in mapping online networks, providing new information on temporal aspects of linking behaviors and information flows within these systems. © The Author(s) 2011. 2011 Journal Article http://hdl.handle.net/20.500.11937/19187 10.1177/0894439310382514 restricted |
| spellingShingle | Highfield, Tim Kirchhoff, L. Nicolai, T. Challenges of tracking topical discussion networks online |
| title | Challenges of tracking topical discussion networks online |
| title_full | Challenges of tracking topical discussion networks online |
| title_fullStr | Challenges of tracking topical discussion networks online |
| title_full_unstemmed | Challenges of tracking topical discussion networks online |
| title_short | Challenges of tracking topical discussion networks online |
| title_sort | challenges of tracking topical discussion networks online |
| url | http://hdl.handle.net/20.500.11937/19187 |