Complexity

Cognitive Network Science: A New Frontier


Publishing date
01 Jan 2019
Status
Published
Submission deadline
07 Sep 2018

Lead Editor

1University of Pennsylvania, Philadelphia, USA

2University of Kansas, Lawrence, USA

3University of Warwick, Coventry, UK

4University of Basel, Basel, Switzerland


Cognitive Network Science: A New Frontier

Description

The convergence of cognitive science and network science, both multidisciplinary and multifaceted disciplines, is allowing researchers to study the human mind like never before. Areas in the cognitive sciences that have greatly benefited from the application of network science techniques include language development across the lifespan, structure of memory and retrieval processes, learning, cognitive search, and creativity. A complex network-based approach allows researchers to quantitatively examine the structure and dynamics of cognitive constructs. Thus, the aim of this special issue is to illustrate how network science can be applied to quantify and validate theories on human cognition.

In this special issue, we aim to gather and showcase research that represents the state of the art in the application of complex network science methodologies to cognitive science, broadly defined (language, memory, learning, personality, emotions, higher-level cognition, etc.). We are inviting authors to contribute high quality original research articles as well as review articles related to the application of complex network science methodologies to quantify cognitive theory. In line with the cross-disciplinary focus of the journal, manuscripts in this special issue should come from a range of diverse disciplines, including cognitive science, social psychology, educational psychology, computational and theoretical linguistics, computer science, and physics. However, all manuscripts submitted to this special issue must be related to and directly address human cognition. Ultimately, papers submitted to this special issue should demonstrate how the application of complex network science methodologies extends and broadens cognitive science in ways that traditional approaches cannot.

Potential topics include but are not limited to the following:

  • Methodological themes
    • Estimation of language network structure from human data
    • Applying network methodologies in predicting human behavior
    • Multilayered complex networks in cognitive science
    • Complex network growth models applied to cognitive science
    • Analysis of dynamical networks
    • Diffusion of information over cognitive and social networks
    • Simulation of search and retrieval processes
    • Big data analysis
  • Conceptual themes
    • Language (including its development, acquisition, and decline)
    • Memory (including its structure, e.g., knowledge representations, and processes, e.g., retrieval and search)
    • Learning
    • Personality traits
    • Emotions
    • Creativity and intelligence
    • Cognitive-social networks

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 1574796
  • - Erratum

Erratum to “Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics”

Cynthia S. Q. Siew | Dirk U. Wulff | ... | Yoed N. Kenett
  • Special Issue
  • - Volume 2020
  • - Article ID 6870278
  • - Editorial

Cognitive Network Science: A New Frontier

Yoed N. Kenett | Nicole M. Beckage | ... | Dirk U. Wulff
  • Special Issue
  • - Volume 2020
  • - Article ID 4607025
  • - Research Article

From Topic Networks to Distributed Cognitive Maps: Zipfian Topic Universes in the Area of Volunteered Geographic Information

Alexander Mehler | Rüdiger Gleim | ... | Tolga Uslu
  • Special Issue
  • - Volume 2019
  • - Article ID 7690869
  • - Research Article

Network Growth Modeling to Capture Individual Lexical Learning

Nicole M. Beckage | Eliana Colunga
  • Special Issue
  • - Volume 2019
  • - Article ID 2108423
  • - Review Article

Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics

Cynthia S. Q. Siew | Dirk U. Wulff | ... | Yoed N. Kenett
  • Special Issue
  • - Volume 2019
  • - Article ID 4203158
  • - Research Article

Analyzing Knowledge Retrieval Impairments Associated with Alzheimer’s Disease Using Network Analyses

Jeffrey C. Zemla | Joseph L. Austerweil
  • Special Issue
  • - Volume 2019
  • - Article ID 1918504
  • - Research Article

Mediation Centrality in Adversarial Policy Networks

Stefan M. Herzog | Thomas T. Hills
  • Special Issue
  • - Volume 2019
  • - Article ID 6979830
  • - Research Article

Constructing the Mandarin Phonological Network: Novel Syllable Inventory Used to Identify Schematic Segmentation

Karl D. Neergaard | Chu-Ren Huang
  • Special Issue
  • - Volume 2019
  • - Article ID 9424605
  • - Research Article

Expanding Network Analysis Tools in Psychological Networks: Minimal Spanning Trees, Participation Coefficients, and Motif Analysis Applied to a Network of 26 Psychological Attributes

Srebrenka Letina | Tessa F. Blanken | ... | Denny Borsboom
  • Special Issue
  • - Volume 2019
  • - Article ID 8379321
  • - Research Article

Human Sensitivity to Community Structure Is Robust to Topological Variation

Elisabeth A. Karuza | Ari E. Kahn | Danielle S. Bassett
Complexity
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 Journal metrics
Acceptance rate43%
Submission to final decision64 days
Acceptance to publication35 days
CiteScore3.200
Impact Factor2.462
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