Angaben zur Quelle [Bearbeiten]
| Autor | Matthew J. Dombroski, Kathleen M. Carley |
| Titel | NETEST: Estimating a Terrorist Network’s Structure |
| Sammlung | CASOS conference proceedings |
| Ort | Pittsburgh, PA. |
| Jahr | 2002 |
| URL | http://www.casos.cs.cmu.edu/publications/working_papers/Dombroski-CASOS-02.pdf |
Literaturverz. |
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| Fußnoten | no |
| Fragmente | 2 |
Fragmente der Quelle:
| [1.] Nm/Fragment 088 21 - Diskussion Zuletzt bearbeitet: 2012-05-11 21:03:43 WiseWoman | Dombroski Carley 2002, Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung |
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| Untersuchte Arbeit: Seite: 88, Zeilen: 21-33 |
Quelle: Dombroski Carley 2002 Seite(n): 1, Zeilen: 14-24 |
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| NETEST – It is based on the combination of multi-agent technology with hierarchical Bayesian inference models and biased net models to produce accurate posterior network representations. Bayesian inference models produce representations of a network’s structure and informant accuracy by combining prior network and accuracy data with informant perceptions of a network. Biased net theory examines and captures the biases that may be present within a specific network or group of networks. NETEST provides functionalities to estimate a network’s size, determine its membership and structure, determine areas of the network where data is missing, perform cost and benefit analysis of additional information, assess group level capabilities [embedded in the network, and pose “what if” scenarios to destabilize a network and predict its evolution over time.] | NETEST is a tool that combines multiagent technology with hierarchical Bayesian inference models and biased net models to produce accurate posterior representations of a network. Bayesian inference models produce representations of a network’s structure and informant accuracy by combining prior network and accuracy data with informant perceptions of a network. Biased net theory examines and captures the biases that may exist in a specific network or set of networks. Using NETEST, an investigator has the power to estimate a network’s size, determine its membership and structure, determine areas of the network where data is missing, perform cost/benefit analysis of additional information, assess group level capabilities embedded in the network, and pose “what if” scenarios to destabilize a network and predict its evolution over time. |
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| [2.] Nm/Fragment 089 01 - Diskussion Zuletzt bearbeitet: 2012-05-11 21:08:19 WiseWoman | Dombroski Carley 2002, Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung |
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| Untersuchte Arbeit: Seite: 89, Zeilen: 1-2 |
Quelle: Dombroski Carley 2002 Seite(n): 1, Zeilen: 20-24 |
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| [NETEST provides functionalities to estimate a network’s size, determine its membership and structure, determine areas of the network where data is missing, perform cost and benefit analysis of additional information, assess group level capabilities] embedded in the network, and pose “what if” scenarios to destabilize a network and predict its evolution over time. | Using NETEST, an investigator has the power to estimate a network’s size, determine its membership and structure, determine areas of the network where data is missing, perform cost/benefit analysis of additional information, assess group level capabilities embedded in the network, and pose “what if” scenarios to destabilize a network and predict its evolution over time. |
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