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dc.contributor.advisorThomas J. Allen.en_US
dc.contributor.authorDuggan, Ian J. C. (Ian James Campbell), 1974-en_US
dc.date.accessioned2010-01-07T20:46:07Z
dc.date.available2010-01-07T20:46:07Z
dc.date.copyright1998en_US
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/50498
dc.descriptionThesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.en_US
dc.descriptionIncludes bibliographical references (leaves 46-47).en_US
dc.description.abstractAGNI is a tool developed to facilitate the analysis of communication networks between people in large organizations. Determining patterns of communication within organiza­tions is critical to the analysis of the effectiveness of their structure. Until recently, large organizations presented a special problem. The copious amounts of data that had to be analyzed made the process slow and tedious. AGNI makes the job easier by automating many of the tasks involved in this process. It provides a user friendly graphical environ­ment in which data can be collected and analyzed. It also provides an easy way to display the data in a graphical format so that it is easy to visualize.en_US
dc.description.statementofresponsibilityby Ian J.C. Duggan.en_US
dc.format.extent47 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Scienceen_US
dc.titleDevelopment and evaluation of AGNI : a distributed netgraph data collection and analysis toolen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc42278321en_US


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