Affiliation:
1. Curtin University of Technology
Abstract
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 a given 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.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications
Cited by
6 articles.
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1. Social sustainability management in the apparel supply chains;Journal of Cleaner Production;2021-01
2. Website Interaction Network;Journal of Organizational Computing and Electronic Commerce;2014-04-03
3. An unsupervised topic segmentation model incorporating word order;Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval;2013-07-28
4. Affinity-driven blog cascade analysis and prediction;Data Mining and Knowledge Discovery;2013-03-26
5. Mood sensing from social media texts and its applications;Knowledge and Information Systems;2013-03-21