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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.

List of Contributors
vii
Introduction 1(9)
Michael S. Vitevitch
1 The Influence of Social Network Properties on Language Processing and Use
10(20)
Shiri Lev-Ari
2 Brain Network Architecture: Implications for Human Learning
30(15)
Marcelo G. Mattar
Danielle S. Bassett
3 Complexity, Chaos, and Catastrophe: Modeling Psychopathology as a Dynamic System
45(35)
Jolanda J. Kossakowski
Angelique O. J. Cramer
4 Dreaming as a Random Walk Through the Dreamers Associative Network
80(17)
Richard Schweickert
Hye Joo Han
Zhuangzhuang Xi
Charles Viau-Quesnel
5 Compression Heuristics, Social Networks, and the Evolution of Human Intelligence
97(20)
Matthew E. Brashears
Laura Aufderheide Brashears
6 Networks and Creativity: The Socio-Cultural Side of Being Creative
117(19)
Elvis Mazzoni
Alice Chirico
Martina Benvenuti
Andrea Gaggioli
7 Clinical Cognitive Networks: A Graph Theory Approach
136(30)
Yoed N. Kenett
Miriam Faust
8 Modeling Early Word Learning Through Network Graphs
166(18)
Tomas Engelthaler
Thomas T. Hills
9 Can Network Science Connect Mind, Brain, and Behavior?
184(14)
Michael S. Vitevitch
Index 198
Michael S. Vitevitch is Chair of the Department of Psychology at the University of Kansas.