Kathleen M. Carley

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Task dependencies drive the need to coordinate work activities. We describe a technique for using automatically generated archi-val data to compute coordination requirements, i.e., who must coordinate with whom to get the work done. Analysis of data from a large software development project revealed that coordina-tion requirements were highly volatile, and(More)
Virtual organizations that use email to communicate and coordinate their work toward a common goal are becoming ubiquitous. However, little is known about how these organizations work. Much prior research suggests that virtual organizations, for the most part because they use information technology to communicate, will be decentralized and non-hierarchical.(More)
Twitter is a social media giant famous for the exchange of short, 140-character messages called “tweets”. In the scientific community, the microblogging site is known for openness in sharing its data. It provides a glance into its millions of users and billions of tweets through a “Streaming API” which provides a sample of all tweets matching some(More)
The identification and management of work dependencies is a fundamental challenge in software development organizations. This paper argues that modularization, the traditional technique intended to reduce interdependencies among components of a system, has serious limitations in the context of software development. We build on the idea of congruence,(More)
An analysis is conducted on the robustness of measures of centrality in the face of random error in the network data. We use random networks of varying sizes and densities and subject them (separately) to four kinds of random error in varying amounts. The types of error are edge deletion, node deletion, edge addition, and node addition. The results show(More)
Manju K. Ahuja • Dennis F. Galletta • Kathleen M. Carley Kelley School of Business, Information Systems Department, Indiana University, 1309 East Tenth Street, Bloomington, Indiana 47405 Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania 15260 Department of Social & Decision Sciences, Carnegie Mellon University, 208 Porter(More)
An approach, called map analysis, for extracting, analyzing and combining representations of individual’s mental models as cognitive maps is presented. This textual analysis technique allows the researcher to extract cognitive maps, locate similarities across maps, and combine maps to generate a team map. Using map analysis the researcher can address(More)
Dynamic network analysis (DNA) varies from traditional social network analysis in that it can handle large dynamic multi-mode, multi-link networks with varying levels of uncertainty. DNA, like quantum mechanics, would be a theory in which relations are probabilistic, the measurement of a node changes its properties, movement in one part of the system(More)
The use of computational models in the social sciences has grown quickly in the past decade. For many these models represent a bewildering and possibly intimidating approach to examining data and developing social and organizational theory. Few researchers have had courses or personal experience in the development and building of computational models and(More)
Ž . The size and density of graphs interact powerfully and subtly with other graph-level indices GLIs , thereby complicating their interpretation. Here we examine these interactions by plotting changes in the distributions of several popular graph measures across graphs of varying sizes and densities. We provide a generalized framework for hypothesis(More)