Networks in Cognitive Science

Abstract

Networks of interconnected nodes have long played a key role in Cognitive Science, from artificial neural net- works to spreading activation models of semantic mem- ory. Recently, however, a new Network Science has been developed, providing insights into the emergence of global, system-scale properties in contexts as diverse as the Internet, metabolic reactions, and collaborations among scientists. Today, the inclusion of network theory into Cognitive Sciences, and the expansion of complex- systems science, promises to significantly change the way in which the organization and dynamics of cognitive and behavioral processes are understood. In this paper, we review recent contributions of network theory at different levels and domains within the Cognitive Sciences.

References in corpus (24)

• Power-law distributions in empirical data
• Synchronization in complex networks
• Temporal Networks
• Structure and tie strengths in mobile communication networks
• Dynamics of person-to-person interactions from distributed RFID sensor networks
• Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
• Validation of Dunbar's number in Twitter conversations
• Navigability of Complex Networks
• Sharp transition towards shared vocabularies in multi-agent systems
• Analysis of a large-scale weighted network of one-to-one human communication
• Core-periphery organization of complex networks
• Non-equilibrium dynamics of language games on complex networks
• Languages cool as they expand: Allometric scaling and the decreasing need for new words
• Who's talking first? Consensus or lack thereof in coevolving opinion formation models
• Collective dynamics of social annotation
• Ordering dynamics with two non-excluding options: Bilingualism in language competition
• Performance of networks of artificial neurons: The role of clustering
• Some protein interaction data do not exhibit power law statistics
• Agreement dynamics on small-world networks
• Wikipedia information flow analysis reveals the scale-free architecture of the Semantic Space
• Fragmentation transitions in multi-state voter models
• Hubiness, length, crossings and their relationships in dependency trees
• Discriminating different classes of biological networks by analyzing the graphs spectra distribution
• Random Walks on Complex Networks

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• Collective behavior and evolutionary games - An introduction
• Multiplex lexical networks reveal patterns in early word acquisition in children
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• How humans learn and represent networks
• A complex network approach to stylometry
• Navigable Networks as Nash Equilibria of Navigation Games
• Probing the topological properties of complex networks modeling short written texts
• Statistical laws in linguistics
• Centrality-based identification of important edges in complex networks
• Comparing the writing style of real and artificial papers
• The origins of Zipf's meaning-frequency law
• The placement of the head that minimizes online memory: a complex systems approach
• Using word embeddings to improve the discriminability of co-occurrence text networks
• Multiplex networks quantify robustness of the mental lexicon to catastrophic concept failures, aphasic degradation and ageing
• Patterns in the English Language: Phonological Networks, Percolation and Assembly Models
• Model reproduces individual, group and collective dynamics of human contact networks
• Non-crossing dependencies: least effort, not grammar
• An integrative dynamical perspective for graph theory and the study of complex networks
• Network analysis of named entity co-occurrences in written texts
• The scaling of the minimum sum of edge lengths in uniformly random trees
• Semantic flow in language networks
• Mental Lexicon Growth Modelling Reveals the Multiplexity of the English Language
• Quantitative dynamics of design thinking and creativity perspectives in company context
• The infochemical core
• A perturbation-based approach to identifying potentially superfluous network constituents
• Beyond description. Comment on "Approaching human language with complex networks" by Cong & Liu
• Complexity and irreducibility of dynamics on networks of networks
• On the dual nature of adoption processes in complex networks
• Language Networks: a Practical Approach
• A model for phonetic changes driven by social interactions
• The advent and fall of a vocabulary learning bias from communicative efficiency