Harnessing Wisdom of the Crowds Dynamics for Time-Dependent Reputation and Ranking Export

@inproceedings{citeulike:5405009, abstract = {The ” wisdom of the crowds” is a concept used to describe the utility of harnessing group behaviour, where user opinion evolves over time and the opinion of the masses collectively demonstrates wisdom. Web 2.0 is a new medium where users are not just consumers, but are also contributors. By contributing content to the system, users become part of the network and relationships between users and content can be derived. Example applications are collaborative bookmarking networks such as del.icio.us and file sharing applications such as YouTube and Flickr. These networks rely on user contributed content, described and classified using tags. The wealth of user generated content can be hard to navigate and search due to difficulties in comparing documents with similar tags and the application of traditional information retrieval scoring techniques are limited. Evaluating the time evolving interests of users may be used to derive quality of content. In this paper, we propose a technique to rank documents based on reputation. The reputation is a combination of the number of bookmarkers, the reputation of the bookmarking user and the time dynamics of the document. Experimental results and analysis are presented on a large collaborative IBM bookmarking network called Dogear}, author = {Daly, Elizabeth M.}, booktitle = {In ASONAM '09: Proceedings of the International Conference on Advances in Social Network Analysis and Mining}, citeulike-article-id = {5405009}, journal = {In ASONAM '09: Proceedings of the International Conference on Advances in Social Network Analysis and Mining, Athens}, keywords = {dynamics, social-networks}, location = {Athens, Greece}, month = {July}, posted-at = {2009-08-10 14:54:28}, priority = {5}, title = {Harnessing Wisdom of the Crowds Dynamics for Time-Dependent Reputation and Ranking}, year = {2009} }

TY - CONF ID - citeulike:5405009 L3 - citeulike-article-id:5405009 N2 - The “wisdom of the crowds” is a concept used to describe the utility of harnessing group behaviour, where user opinion evolves over time and the opinion of the masses collectively demonstrates wisdom. Web 2.0 is a new medium where users are not just consumers, but are also contributors. By contributing content to the system, users become part of the network and relationships between users and content can be derived. Example applications are collaborative bookmarking networks such as del.icio.us and file sharing applications such as YouTube and Flickr. These networks rely on user contributed content, described and classified using tags. The wealth of user generated content can be hard to navigate and search due to difficulties in comparing documents with similar tags and the application of traditional information retrieval scoring techniques are limited. Evaluating the time evolving interests of users may be used to derive quality of content. In this paper, we propose a technique to rank documents based on reputation. The reputation is a combination of the number of bookmarkers, the reputation of the bookmarking user and the time dynamics of the document. Experimental results and analysis are presented on a large collaborative IBM bookmarking network called Dogear CY - Athens, Greece JF - In ASONAM '09: Proceedings of the International Conference on Advances in Social Network Analysis and Mining, Athens TI - Harnessing Wisdom of the Crowds Dynamics for Time-Dependent Reputation and Ranking T2 - In ASONAM '09: Proceedings of the International Conference on Advances in Social Network Analysis and Mining KW - dynamics KW - social-networks AU - Daly, Elizabeth PY - 2009/07// ER -