Proceedings ArticleDOI
Discovering Communities of Interest in a Tagged On-Line Environment
Walter Christian Kammergruber,Maximilian Viermetz,Cai-Nocilas Ziegler +2 more
- pp 143-148
TLDR
An approach aimed at the use of community based tagging to address problems in link prediction and the discovery of complex user groups in a fleeting and unstructured web-based environment is proposed.Abstract:
Tagging and social networks have come into increasing use in concert with the rise of collaborative and interactive on-line media. The focus of tagging is herein twofold: First of all the plain annotation of existing data by a governing instance in order to increase the semantic content of unstructured data, and secondly the application of such meta-information by a community or a group of like minded users. The information contained in such social tagging reflects the point of view and understanding of the community, presenting a valuable source of information for the discovery of community structure,content and intent. This paper proposes an approach aimed at the use of community based tagging to address problems in link prediction and the discovery of complex user groups in a fleeting and unstructured web-based environment. The ideas presented in this paper are applied to a real world scenario, and the results show a distinct opportunity in community detection and support. This result will be incorporated into emerging knowledge management systems within Siemens AG in the near future.read more
Citations
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The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems.
TL;DR: This paper will transfer a classical approach in machine learning to a social bookmarking setting to identify spammers, and presents features considering the topological, semantic and profile-based information which people make public when using the system.
Patent
Detecting overlapping clusters
TL;DR: In this paper, a technique for identifying overlapping clusters of items in a data set is proposed, which is used in connection with a social network or other on-line environment in which users express approval for other users, such as through votes, tags or other inputs.
Proceedings ArticleDOI
Using association rules for discovering tag bundles in social tagging data
TL;DR: It is shown how common structures in form of tag bundles (a set of related tags) can automatically be derived from a bag of tags by applying a well-established data mining algorithm.
Proceedings ArticleDOI
Context-specific information distribution using the Web 3L Model
TL;DR: The Web 3L model reinterprets the idea of the Web 3.0 as a 3-layer structure of networks and combines relations from social and semantic networks in order to use them for context specific search and distribution of information.
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