Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/paper/626> ?p ?o. }
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- 626 creator gengxin-miao.
- 626 creator james-r-moulic.
- 626 creator louise-moser.
- 626 creator shu-tao.
- 626 creator winnie-cheng.
- 626 creator xifeng-yan.
- 626 type InProceedings.
- 626 label "Understanding Task-driven Information Flow in Collaborative Networks".
- 626 sameAs 626.
- 626 abstract "Collaborative network is a special type of social network formed by members who collectively achieve specific goals, e.g., fixing software bugs, resolving customers' problems, etc. In such networks, information flows among members are driven by the tasks assigned to the network, and by the expertise of its members toward finishing these tasks. In this work, we analyze real-life collaborative networks to understand their common characteristics and how information is routed in these networks. Our study shows that the topology of collaborative networks not only exhibits scale-free properties in node degree distribution, but also has other organizational constraints. Furthermore, the number of steps in which information gets routed in these networks follow a power-law distribution too. Based on these observations, we develop a network model that can generate synthetic collaborative networks subject to certain structure constraints. We further design a routing model that emulates task-driven information routing conducted by human beings in a collaborative network. Together, these two models can be used to study the efficiency of information routing in different topological settings of a target collaborative network -- a problem that is important in practice yet difficult to solve without the method proposed in this work.".
- 626 hasAuthorList authorList.
- 626 isPartOf proceedings.
- 626 keyword "collaborative network".
- 626 keyword "information routing".
- 626 keyword "network model".
- 626 keyword "observations".
- 626 keyword "simulation".
- 626 title "Understanding Task-driven Information Flow in Collaborative Networks".