Discovery of latent subcommunities in a blog's readership
The blogosphere has grown to be a mainstream forum of social interaction as well as a commercially attractive source of information and influence. Tools are needed to better understand how communities that adhere to individual blogs are constituted in order to facilitate new personal, socially-focus...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
ACM
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/14244 |
| _version_ | 1848748571473477632 |
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| author | Adams, Brett Phung, Dinh Venkatesh, Svetha |
| author_facet | Adams, Brett Phung, Dinh Venkatesh, Svetha |
| author_sort | Adams, Brett |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The blogosphere has grown to be a mainstream forum of social interaction as well as a commercially attractive source of information and influence. Tools are needed to better understand how communities that adhere to individual blogs are constituted in order to facilitate new personal, socially-focused browsing paradigms, and understand how blog content is consumed, which is of interest to blog authors, big media, and search.We present a novel approach to blog subcommunity characterization by modeling individual blog readers using mixtures of an extension to the LDA family that jointly models phrases and time, Ngram Topic over Time (NTOT), and cluster with a number of similarity measures using Affinity Propagation. We experiment with two datasets: a small set of blogs whose authors provide feedback, and a set of popular, highly commented blogs, which provide indicators of algorithm scalability and interpretability without prior knowledge of agiven blog. The results offer useful insight to the blog authors about their commenting community, and are observed to offer an integrated perspective on the topics of discussion and members engaged in those discussions for unfamiliar blogs. Our approach also holds promise as a component of solutions to related problems, such as online entity resolution and role discovery. |
| first_indexed | 2025-11-14T07:07:10Z |
| format | Journal Article |
| id | curtin-20.500.11937-14244 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:07:10Z |
| publishDate | 2010 |
| publisher | ACM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-142442017-09-13T15:58:10Z Discovery of latent subcommunities in a blog's readership Adams, Brett Phung, Dinh Venkatesh, Svetha Web communities affinity propagation Algorithms Content Analysis and Indexing Multimedia Information Systems topic models Blog Human Factor The blogosphere has grown to be a mainstream forum of social interaction as well as a commercially attractive source of information and influence. Tools are needed to better understand how communities that adhere to individual blogs are constituted in order to facilitate new personal, socially-focused browsing paradigms, and understand how blog content is consumed, which is of interest to blog authors, big media, and search.We present a novel approach to blog subcommunity characterization by modeling individual blog readers using mixtures of an extension to the LDA family that jointly models phrases and time, Ngram Topic over Time (NTOT), and cluster with a number of similarity measures using Affinity Propagation. We experiment with two datasets: a small set of blogs whose authors provide feedback, and a set of popular, highly commented blogs, which provide indicators of algorithm scalability and interpretability without prior knowledge of agiven blog. The results offer useful insight to the blog authors about their commenting community, and are observed to offer an integrated perspective on the topics of discussion and members engaged in those discussions for unfamiliar blogs. Our approach also holds promise as a component of solutions to related problems, such as online entity resolution and role discovery. 2010 Journal Article http://hdl.handle.net/20.500.11937/14244 10.1145/1806916.1806921 ACM restricted |
| spellingShingle | Web communities affinity propagation Algorithms Content Analysis and Indexing Multimedia Information Systems topic models Blog Human Factor Adams, Brett Phung, Dinh Venkatesh, Svetha Discovery of latent subcommunities in a blog's readership |
| title | Discovery of latent subcommunities in a blog's readership |
| title_full | Discovery of latent subcommunities in a blog's readership |
| title_fullStr | Discovery of latent subcommunities in a blog's readership |
| title_full_unstemmed | Discovery of latent subcommunities in a blog's readership |
| title_short | Discovery of latent subcommunities in a blog's readership |
| title_sort | discovery of latent subcommunities in a blog's readership |
| topic | Web communities affinity propagation Algorithms Content Analysis and Indexing Multimedia Information Systems topic models Blog Human Factor |
| url | http://hdl.handle.net/20.500.11937/14244 |