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Island Networks
Communication, Kinship, and Classification Structures in Oceania

£33.99

Part of Structural Analysis in the Social Sciences

  • Authors:
  • Per Hage, University of Utah
  • Frank Harary, New Mexico State University and the University of Michigan
  • Date Published: January 2007
  • availability: Available
  • format: Paperback
  • isbn: 9780521033213

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About the Authors
  • Contrary to common perception and belief, most island societies of the Pacific were not isolated, but were connected to other island societies by relations of kinship and marriage, trade and tribute, language and history. Using network models from graph theory, the authors analyse the formation of island empires, the social basis of dialect groups, the emergence of economic and political centres, the evolution and devolution of social stratification and the evolution of kinship terminologies, marriage systems and descent groups from common historical prototypes. The book is at once a unique and important contribution to Oceania studies, anthropology and social network analysis.

    • Demonstrates the use of graph theory in cultural anthropology at a level accessible to the non-mathematical reader
    • Extends the models used in the authors' other two books to apply them to communication, kinship and classification structures
    • A unique and important contribution to Oceania studies, anthropology and social network analysis in general
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    Product details

    • Date Published: January 2007
    • format: Paperback
    • isbn: 9780521033213
    • length: 320 pages
    • dimensions: 229 x 152 x 19 mm
    • weight: 0.477kg
    • contains: 121 b/w illus. 4 maps 10 tables
    • availability: Available
  • Table of Contents

    List of figures, tables, and maps
    Preface
    Acknowledgements
    1. Island networks and graphs
    2. Trees
    3. The minimum spanning tree problem
    4. Search trees I
    5. Search trees II
    6. Centrality
    7. Dominating sets
    8. Digraphs
    9. Conclusion
    References
    Index.

  • Authors

    Per Hage, University of Utah

    Frank Harary, New Mexico State University and the University of Michigan

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