This volume provides an integrative review of the emerging and increasing use of network science techniques in cognitive psychology, first developed in mathematics, computer science, sociology, and physics. The first resource on network science for cognitive psychologists in a growing international market, Vitevitch and a team of expert contributors provide a comprehensive and accessible overview of this cutting-edge topic.
This innovative guide draws on the three traditional pillars of cognitive psychological research–experimental, computational, and neuroscientific–and incorporates the latest findings from neuroimaging. The network perspective is applied to the fundamental domains of cognitive psychology including memory, language, problem-solving, and learning, as well as creativity and human intelligence, highlighting the insights to be gained through applying network science to a wide range of approaches and topics in cognitive psychology
Network Science in Cognitive Psychology will be essential reading for all upper-level cognitive psychology students, psychological researchers interested in using network science in their work, and network scientists interested in investigating questions related to cognition. It will also be useful for early career researchers and students in methodology and related courses.
Table of Contents
List of Contributors
Michael S. Vitevitch
1 The Influence of Social Network Properties on Language Processing and Use
2 Brain Network Architecture: Implications for Human Learning
Marcelo G. Mattar and Danielle S. Bassett
3 Complexity, Chaos, and Catastrophe: Modeling Psychopathology as a Dynamic System
Jolanda J. Kossakowski and Angélique O. J. Cramer
4 Dreaming as a Random Walk Through the Dreamer’s Associative Network
Richard Schweickert, Hye Joo Han, Zhuangzhuang Xi, and Charles Viau-Quesnel
5 Compression Heuristics, Social Networks, and the Evolution of Human Intelligence
Matthew E. Brashears and Laura Aufderheide Brashears
6 Networks and Creativity: The Socio-Cultural Side of Being Creative
Elvis Mazzoni, Alice Chirico, Martina Benvenuti, and Andrea Gaggioli
7 Clinical Cognitive Networks: A Graph Theory Approach
Yoed N. Kenett and Miriam Faust
8 Modeling Early Word Learning Through Network Graphs 166
Tomas Engelthaler and Thomas T. Hills
9 Can Network Science Connect Mind, Brain, and Behavior?
Michael S. Vitevitch
Michael S. Vitevitch is Chair of the Department of Psychology at the University of Kansas.