OSRT image
OSRT people image
OSRT projects image
OSRT papers image
OSRT links image
OSRT contact image

Papers: (alphabetical by lead author)

Title Author(s) Abstract
A Quantitative Profile of a Community of Open Source Linux Developers
PDF version | HTML version
Bert Dempsey, Debra Weiss, Paul Jones, and Jane Greenberg A research paper exploring the demographics of Linux developers worldwide, based on analysis of the Linux Software Map LSMs at ibiblio.org
Amended Parallel Analysis for Optimal Dimensionality Estimation in Latent Semantic Indexing.
Miles Efron

SILS Technical Report TR-2002-03.

Dimensionality Reduction and Statistical Model Building for Information Retrieval
Postscript File
Miles Efron
Eigensystems and Attractors: Stable Points in Self-Organizing Information Spaces
Postscript File
Miles Efron
Eigenvalue-based Estimators for Optimal Dimensionality Reduction in Information Retrieval
Complete Postscript version
Abstract: Postscript | PDF
Miles Efron

Unpublished doctoral dissertation, University of North Carolina, Chapel Hill.

Latent Semantic Indexing (LSI) extends Salton's vector space model (VSM) of information retrieval, using dimensionality reduction to construct a statistical model of the relationships among the terms in a document collection. This dissertation pusues the viability of five statistical methods for estimating the optimal dimensionality of LSI systems.
The Emergence of Hypertextual Ecology from Individual Decisions.
Miles Efron A paper co-written with Steven Goodreau and Vishal Sanwalani at the 2002 Complex Systems Summer School at the Santa Fe Institute in Santa Fe, New Mexico.
Is it All About Connections? Factors Affecting the Performance of a Link-Based Recommender System
PDF File
Miles Efron A paper done with Gary Geisler, presented at the 2001 ACM SIGIR Workshop on Recommender Systems.
Using Dimensionality Reduction to Improve Similarity Judgments for Recommendation
PDF File
Miles Efron A paper done with Gary Geisler, presented at the joint DELOS/NSF Workshop on Personalisation and Recommender Systems in Digital Libraries.
Brooks' Law and Open Source: The more the Merrier? Paul Jones Does the open source development method defy the adage about cooks in the kitchen? An aphorism from some twenty years ago, Brooks' Law, (coined by Frederick P. Brooks, Jr., Kenan Professor of Computer Science at UNC-Chapel Hill in his book The Mythical Man-Month: Essays on Software Engineering) holds that adding more programmers to a project only delays it. But if this is so, what accounts for Linux? Paul Jones gathers perspectives on the open source development method and whether it defies conventional wisdom. First published in IBM developerWorks Open Source zone. May 26, 2000.
Open Source Software Development and Lotka's Law: Bibliometric Patterns in Programming Paul Jones, Greg B. Newby and Jane Greenberg. First published in the Journal of the American Society for Information Science and Technology, Vol. 54, Issue 2 [abstract only available without subscription]. This research applies Lotka's Law to metadata on open source software development. Lotka's Law predicts the proportion of authors at different levels of productivity. Open source software development harnesses the creativity of thousands of programmers worldwide, is important to the progress of the Internet and many other computing environments, and yet has not been widely researched. We examine metadata from the Linux Software Map (LSM), which documents many open source projects, and Sourceforge, one of the largest resources for open source developers. Authoring patterns found are comparable to prior studies of Lotka's Law for scientific and scholarly publishing. Lotka's Law was found to be effective in understanding software development productivity patterns, and offer promise in predicting aggregate behavior of open source developers.
Open (source)ing the doors for contributor-run digital libraries Paul Jones An article in the May 2001 edition of the Communications of the ACM encouraging information sharing along the lines of the open source software development model.
Who Is an Open Source Software Developer? Paul Jones, Jane Greenberg, Bert DempseyBert J. Dempsey and Debra Weiss. A May 2001 paper originally published in the Communications of the ACM. Co-written with current OSRT member Jane Greenberg and former members Bert J. Dempsey and Debra Weiss, this article profiles a group of Linux software developers.
Service Providers and the Open Archives Initiative: You Can't Tell the Players Without a Scorecard
Butch Lazorchak An overview of the Open Archives Initiative's Protocol for Metadata Harvesting (OAI-PMH), and an analyses of the effectiveness of several different service providers.
OSRT top logo.