Abstract | ||
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As digital communities grow in size their feature sets also grow with them. Different users have different experiences with the same tools and communities. Enterprises and other organizations seeking to leverage these communities need a straightforward way to analyze and compare a variety of salient attributes of these communities. We describe a taxonomy and tool for crowd-sourcing user based evaluations of enterprise relevant attributes of digital communities and present the results of a small scale study on its usefulness and stability across multiple raters. |
Year | DOI | Venue |
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2011 | 10.1145/1958824.1958955 | Conference on Computer Supported Cooperative Work |
Keywords | Field | DocType |
online communities,multiple raters,small scale study,digital community,enterprise,salient attribute,visualization,enterprise relevant attribute,different user,different experience,taxonomy,crowd-sourcing user,online community property | World Wide Web,Online community,Leverage (finance),Visualization,Computer science,Knowledge management,Salient | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Patrick Wagstrom | 1 | 206 | 11.85 |
Jacquelyn Martino | 2 | 104 | 35.29 |
Juerg von Kaenel | 3 | 2 | 0.86 |
Marshini Chetty | 4 | 700 | 64.32 |
John C. Thomas | 5 | 370 | 215.52 |
Lauretta Jones | 6 | 78 | 7.61 |