PhD thesis: "Unified mathematical treatment of complex cascaded bipartite networks: the case of collections of journal papers

Steven A. Morris samorri at OKSTATE.EDU
Wed Aug 10 09:19:26 EDT 2005


Dear colleagues,

I would like to post my PhD dissertation for anyone out there that might
be interested:

*Morris, S. A. (2005). Unified mathematical treatment of complex
cascaded bipartite networks: The case of collections of journal papers.
Unpublished Dissertation, Oklahoma State University, Stillwater,
Oklahoma, U.S.A. *

A copy of this work in pdf format can be accessed here
<http://samorris.ceat.okstate.edu/web/publications/2005_morris_thesis.pdf>
(4.2 Mbyte).

Summary: The work describes an entity-relationship model of collections
of journal papers. This model describes a collection of papers as a
system of coupled bipartite networks, which can be mathematically
expressed using a series of matrices, and further allows many existing
analysis techniques to be expressed and used in a very general way.
Matrix based visualizations are particularly useful, allowing detailed
visualization of structure and dynamics of research specialties.
Reports on work derived from this research include:

-Morris, S. A., Yen, G., Wu, Z., & Asnake, B. (2003). Timeline
visualization of research fronts. Journal of the American Society for
Information Science and Technology, 55(5), 413-422

-Morris, S. A., & Yen, G. (2004). Crossmaps: visualization of
overlapping relationships in collections of journal papers. Proceedings
of the National Academy of Science of the United States, 101(suppl. 1),
5291-5296.

-Morris, S. A., (2004) Manifestation of emerging specialties in journal
literature: a growth model of papers, references, exemplars,
bibliographic coupling, co-citation, and clustering coefficient
distribution, Journal of the American Society for Information Science
and Technology. (in press)

-Morris, S. A., Goldstein, M. L., & Deyong, C. F. (2004). Manifestation
of research teams in journal literature: A growth model of papers,
authors, collaboration, coauthorship, weak ties, and Lotka's law.
(submitted).

Thanks,

Steven Morris

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