Exploring the interdisciplinary connections of gossip-based systems
ACM SIGOPS Operating Systems Review - Gossip-based computer networking
The folksonomy tag cloud: when is it useful?
Journal of Information Science
TRIBLER: a social-based peer-to-peer system: Research Articles
Concurrency and Computation: Practice & Experience - Recent Advances in Peer-to-Peer Systems and Security (P2P 2006)
PINTS: peer-to-peer infrastructure for tagging systems
IPTPS'08 Proceedings of the 7th international conference on Peer-to-peer systems
How different are language models andword clouds?
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
A survey and comparison of peer-to-peer overlay network schemes
IEEE Communications Surveys & Tutorials
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We investigate term clouds that represent the content available in a peer-to-peer (P2P) network. Such network term clouds are non-trivial to generate in distributed settings. Our term cloud generator was implemented and released in Tribler--a widely-used, server-free P2P system--to support users in understanding the sorts of content available. Our evaluation and analysis focuses on three aspects of the clouds: coverage, usefulness and accumulation speed. A live experiment demonstrates that individual peers accumulate substantial network-level information, indicating good coverage of the overall content of the system. The results of a user study carried out on a crowdsourcing platform confirm the usefulness of clouds, showing that they succeed in conveying to users information on the type of content available in the network. An analysis of five example peers reveals that accumulation speeds of terms at new peers can support the development of a semantically diverse term set quickly after a cold start. This work represents the first investigation of term clouds in a live, 100% server-free P2P setting.