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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Heuristics for laying out information graphs

Lavinus, Joseph W. 30 December 2008 (has links)
The representation of information in modern database systems is complicated by the need to represent relationships among pieces of information. A natural representation for such databases is the information graph that associates the pieces of information with vertices in the graph and the relationships with edges. Five characteristics of this representation are noteworthy. First, each vertex has a size (in bytes) sufficient to store its corresponding piece of information. Second, retrieval in an information graph may follow a number of patterns; in particular, retrieval of adjacent vertices via edge traversals must be efficient. Third, in many applications such as a dictionary or bibliographic archive, the information graph may be considered static. Fourth, the ultimate home for an information graph is likely to be a roughly linear medium such as a magnetic disk or CD-ROM. Finally, information graphs are quite large-hundreds of thousands of vertices and tens of megabytes in size. / Master of Science

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