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Kathleen M. Carley

Researcher at Carnegie Mellon University

Publications -  647
Citations -  27093

Kathleen M. Carley is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Social media & Social network. The author has an hindex of 75, co-authored 602 publications receiving 24280 citations. Previous affiliations of Kathleen M. Carley include Carnegie Learning & University of Pittsburgh.

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Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose

TL;DR: Data collected using Twitter's sampled API service is compared with data collected using the full, albeit costly, Firehose stream that includes every single published tweet to help researchers and practitioners understand the implications of using the Streaming API.
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A Theory of Group Stability

TL;DR: Carley et al. as discussed by the authors presented a simple model of individual behavior based on the thesis that interaction leads to shared knowledge and that relative shared knowlege leads to interaction, and examined the structural and cultural bases of group stability.
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On the robustness of centrality measures under conditions of imperfect data

TL;DR: Dense networks were the most robust in the face of all kinds of error except edge deletion, which suggests that, for random networks and random error, the authors shall be able to construct confidence intervals around centrality scores.
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Simulation modeling in organizational and management research

TL;DR: In this paper, the authors describe the nature of simulations, its attractions, and its special problems, as well as some uses of computational modeling in management research, and promote understanding of simulation methodology and develop an appreciation of its potential contributions to management theory.
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Extracting, Representing, and Analyzing Mental Models

TL;DR: A methodology for representing mental models as maps, extracting these maps from texts, and analyzing and comparing the extracted maps is described, supporting both qualitative and quantitative comparisons of the resulting representations.