What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Law
- Statistics
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 most cited work include:
- A Theory of Group Stability (639 citations)
- Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (457 citations)
- Social Computing: From Social Informatics to Social Intelligence (449 citations)
What are the main themes of her work throughout her whole career to date?
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.
She most often published in these fields:
- Artificial intelligence (15.67%)
- Data science (12.76%)
- Knowledge management (12.12%)
What were the highlights of her more recent work (between 2018-2021)?
- Social media (10.02%)
- Artificial intelligence (15.67%)
- Data science (12.76%)
In recent papers she was focusing on the following fields of study:
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.
Between 2018 and 2021, her most popular works were:
- Detecting Change in Longitudinal Social Networks (82 citations)
- Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations (22 citations)
- Misinformation in Social Media: Definition, Manipulation, and Detection (21 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Law
- Statistics
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
- Politics and related Network science, Process and Subject-matter expert,
- Toolbox and related Filter, Training set, Fake news, Random string and World Wide Web.
Her work on Deep learning as part of general Artificial intelligence research is frequently linked to Position, thereby connecting diverse disciplines of science.
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.
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