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HistoryFlow is a tool for visualizing dynamic, evolving documents and the interactions of multiple collaborating authors. In its current implementation, history flow is being used to visualize the evolutionary history of wiki pages on Wikipedia.


Title Author(s) Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract
Learning-Oriented Assessment of Wiki Contributions: How to Assess Wiki Contributions in a Higher Education Learning Setting Emilio J. Rodríguez-Posada
Juan Manuel Dodero-Beardo
Manuel Palomo-Duarte
Inmaculada Medina-Bulo
Computer-supported collaborative learning
E-Learning assessment
International Conference on Computer Supported Education English 2011 Computer-Supported Collaborative Learning based on wikis offers new ways of collaboration and encourages participation. When the number of contributions from students increases, traditional assessment procedures of e-learning settings suffer from scalability problems. In a wiki-based learning experience, some automatic tools are required to support the assessment of such great amounts of data. We have studied readily available analysis tools for the MediaWiki platform, that have complementary input, work modes and output. We comment our experience in two Higher Education courses, one using HistoryFlow and another using StatMediaWiki, and discuss the advantages and drawbacks of each system.
Studying cooperation and conflict between authors with history flow visualizations Fernanda B. Viégas
Martin Wattenberg
Kushal Dave
Revision history
Conference on Human Factors in Computing Systems English 2004 The Internet has fostered an unconventional and powerful style of collaboration: “wiki” web sites, where every visitor has the power to become an editor. In this paper we investigate the dynamics of Wikipedia, a prominent, thriving wiki. We make three contributions. First, we introduce a new exploratory data analysis tool, the history flow visualization, which is effective in revealing patterns within the wiki context and which we believe will be useful in other collaborative situations as well. Second, we discuss several collaboration patterns highlighted by this visualization tool and corroborate them with statistical analysis. Third, we discuss the implications of these patterns for the design and governance of online collaborative social spaces. We focus on the relevance of authorship, the value of community surveillance in ameliorating antisocial behavior, and how authors with competing perspectives negotiate their differences.