2014 - IEEE Fellow For contributions to multi-dimensional human and cyber dynamic networks
Her main research concerns Knowledge management, Artificial intelligence, Management science, Organizational learning and Organizational architecture. Her research in Knowledge management intersects with topics in Structure, Task, Public relations and Organizational theory. Kathleen M. Carley has researched Artificial intelligence in several fields, including Link analysis, Process, Adaptation and Natural language processing.
The Management science study combines topics in areas such as Management, Complexity theory and organizations and Social dilemma. Her Organizational learning study integrates concerns from other disciplines, such as Organizational effectiveness, Organizational behavior and Organization development. Kathleen M. Carley combines subjects such as Intelligent agent, Organizational performance and Restructuring with her study of Organizational architecture.
Her scientific interests lie mostly in Artificial intelligence, Data science, Knowledge management, Social network and Dynamic network analysis. Her Artificial intelligence research includes elements of Machine learning and Natural language processing. She focuses mostly in the field of Data science, narrowing it down to matters related to Social media and, in some cases, Politics and Internet privacy.
Her Knowledge management research is multidisciplinary, incorporating elements of Task and Organizational structure. Her research on Social network focuses in particular on Social network analysis. Her studies in Organizational learning integrate themes in fields like Organizational effectiveness and Organization development.
The scientist’s investigation covers issues in Social media, Artificial intelligence, Data science, Politics and Misinformation. Her Artificial intelligence study incorporates themes from Machine learning and Natural language processing. Kathleen M. Carley has included themes like Social network analysis and Malware in her Machine learning study.
Her work deals with themes such as Ideology, Cluster analysis, Event, Terrorism and Complex network, which intersect with Data science. Her research investigates the connection between Information Operations and topics such as Interoperability that intersect with problems in Dynamic network analysis. Her Context research is multidisciplinary, incorporating perspectives in Centrality and Public relations.
Kathleen M. Carley spends much of her time researching Social media, Artificial intelligence, Data science, Disinformation and Artificial neural network. Her Social media study also includes fields such as
Her research integrates issues of Complex network, Ideology and Information Operations in her study of Data science. Her Information Operations research focuses on Interoperability and how it connects with Dynamic network analysis, Relocation and Presidential system. Her Dynamic network analysis research incorporates themes from Social network analysis, Social media analytics, Data set and Computer security.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Network Structure in Virtual Organizations
Manju K. Ahuja;Kathleen M. Carley.
Organization Science (1999)
A Theory of Group Stability
American Sociological Review (1991)
Coding Choices for Textual Analysis: A Comparison of Content Analysis and Map Analysis
Sociological Methodology (1993)
Extracting, Representing, and Analyzing Mental Models
Kathleen Carley;Michael Palmquist.
Social Forces (1992)
Social Computing: From Social Informatics to Social Intelligence
Fei-Yue Wang;Daniel Zeng;K.M. Carley;W. Mao.
IEEE Intelligent Systems (2007)
Simulation modeling in organizational and management research
J. Richard Harrison;Zhiang Lin;Glenn R. Carroll;Kathleen M. Carley.
Academy of Management Review (2007)
On the robustness of centrality measures under conditions of imperfect data
Stephen P. Borgatti;Kathleen M. Carley;David Krackhardt.
Social Networks (2006)
Individual Centrality and Performance in Virtual R&D Groups: An Empirical Study
Manju K. Ahuja;Dennis F. Galletta;Kathleen M. Carley.
Management Science (2003)
Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose
Fred Morstatter;Jürgen Pfeffer;Huan Liu;Kathleen M. Carley.
international conference on weblogs and social media (2013)
Organizational Learning and Personnel Turnover
Organization Science (1992)
Profile was last updated on December 6th, 2021.
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