Understanding the group dynamics and success of teams
dc.contributor.author | Klug, Michael | en_US |
dc.contributor.author | Bagrow, James P. | en_US |
dc.date.accessioned | 2016-07-04T03:49:01Z | |
dc.date.available | 2016-07-04T03:49:01Z | |
dc.date.issued | 2016 | en_US |
dc.identifier.other | HPU4160373 | en_US |
dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/21889 | en_US |
dc.description.abstract | Complex problems often require coordinated group effort and can consume significant resources, yet our understanding of how teams form and succeed has been limited by a lack of large-scale, quantitative data. We analyse activity traces and success levels for approximately 150 000 self-organized, online team projects. While larger teams tend to be more successful, workload is highly focused across the team, with only a few members performing most work. | en_US |
dc.format.extent | 11 p. | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | en | en_US |
dc.subject | Computer science | en_US |
dc.subject | Behaviour | en_US |
dc.subject | Complexity | en_US |
dc.subject | Teamwork | en_US |
dc.subject | Collective dynamics | en_US |
dc.subject | Data science | en_US |
dc.subject | Open source software | en_US |
dc.title | Understanding the group dynamics and success of teams | en_US |
dc.type | Article | en_US |
dc.size | 654KB | en_US |
dc.department | Education | en_US |
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