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There is a package for sparse matrices in R (www.r-project.org) which might
be useful for your problem.
----- Original Message -----
From: "Corey Phelps" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Wednesday, July 13, 2005 2:45 AM
Subject: 2 questions: data file size & construction of data file
> ***** To join INSNA, visit http://www.insna.org *****
> A colleague of mine has asked for help, which I hope the members of this
> list can provide. There are 2 questions:
> 1) He has data on the relationships (presence/absence) among nearly 1
> million individuals. He would like to store this in a single, flat file
> as an adjacency matrix. Furthermore, he needs to be able to calculate
> network measures on the individuals in this network (e.g., between
> centrality). I have never worked with a data set this large. Is this
> possible? If so, what file format would work and what SNA program or
> programming language should he use?
> 2) In addition to the relational data, he also has data on an attribute
> of each individual (coded as dichotomous: present/absent). He would like
> to be able to combine these two types of data in order to calculate the
> path length between a focal individual and an individual who possesses
> the attribute. For example, if person A is connected to person B (who
> has the attribute), the path length would be 1. If person A is connected
> to person B (who does NOT have the attribute), who is connected to
> person C (who has the attribute), thent he path length would be 2. He
> would like to use the ability to calculate such path lengths to
> calculate a type of Information Centrality (Stephenson & Zelen, 1989)
> for each actor in the network. This measure would only consider the path
> lengths between ego and those alters who possess the attribute. If you
> have recommendations on how to do any of these steps and/or recommended
> references, please let me know.
> Thanks in advance.
> Corey Phelps, PhD
> Asst. Professor, Management & Organization
> University of Washington Business School
> Box 353200
> Seattle, WA 98195
> (206) 543-6579
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