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Generalized blockmodeling of two-mode network data (2004)
| Venue: | Social Networks |
| Citations: | 21 - 2 self |
BibTeX
@ARTICLE{Doreian04generalizedblockmodeling,
author = {Patrick Doreian and Vladimir Batagelj},
title = {Generalized blockmodeling of two-mode network data},
journal = {Social Networks},
year = {2004},
pages = {29--53}
}
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Abstract
We extend the direct approach for blockmodeling one-mode data to two-mode data. The key idea in this development is that the rows and columns are partitioned simultaneously but in different ways. Many (but not all) of the generalized block types can be mobilized in blockmodeling two-mode network data. These methods were applied to some ‘voting ’ data from the 2000-2001 term of the Supreme Court and to the classic Deep South data on women attending events. The obtained par-titions are easy to interpret and compelling. The insight that rows and columns can be partitioned in different ways can be applied also to one-mode data. This is illustrated by a partition of a journal-to-journal citation network where journals are viewed simultaneously as both producers and consumers of scientific knowledge. Blockmodeling tools were developed to partition network actors into clusters, called positions, and, at the same time, to partition the set of ties into blocks that are defined by the positions. (See Lorrain and White (1971), Breiger et al. (1975), and Burt (1976) for the foundational statements.) For these authors, and those using their methods, the foundation for the partitioning was structural equivalence. White and Reitz (1983) generalized structural equivalence to regular equivalence as another principle for
Keyphrases
two-mode network data generalized blockmodeling structural equivalence one-mode data different way scientific knowledge foundational statement journal-to-journal citation network blockmodeling tool partition network actor supreme court key idea two-mode data 2000-2001 term generalized block type direct approach classic deep south data obtained par-titions regular equivalence
