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 (46)

• Emergence of scaling in random networks
• Community detection in graphs
• Power-law distributions in empirical data
• Error and attack tolerance of complex networks
• Epidemic spreading in scale-free networks
• The structure of scientific collaboration networks
• Synchronization in complex networks
• Temporal Networks
• Structure and tie strengths in mobile communication networks
• Dynamic reconfiguration of human brain networks during learning
• Dynamics of person-to-person interactions from distributed RFID sensor networks
• Optimal Dynamical Range of Excitable Networks at Criticality
• High resolution dynamical mapping of social interactions with active RFID
• Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
• Problems with Fitting to the Power-Law Distribution
• Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
• Validation of Dunbar's number in Twitter conversations
• Highly Optimized Tolerance: Robustness and Power Laws in Complex Systems
• Navigability of Complex Networks
• Class of correlated random networks with hidden variables
• Sharp transition towards shared vocabularies in multi-agent systems
• Analysis of a large-scale weighted network of one-to-one human communication
• Generic scale of the "scale-free" growing networks
• Core-periphery organization of complex networks
• The origin of degree correlations in the Internet and other networks
• Non-equilibrium dynamics of language games on complex networks
• The first-mover advantage in scientific publication
• 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
• Topology Induced Coarsening in Language Games
• 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
• Mean-field diffusive dynamics on weighted networks
• Consensus and ordering in language dynamics
• Wikipedia information flow analysis reveals the scale-free architecture of the Semantic Space
• Agent Based Models of Language Competition: Macroscopic descriptions and Order-Disorder transitions
• Intermittency and scale-free networks: a dynamical model for human language complexity
• Fragmentation transitions in multi-state voter models
• Switcher-random-walks: a cognitive-inspired mechanism for network exploration
• Hubiness, length, crossings and their relationships in dependency trees
• Hierarchies in Dictionary Definition Space
• Discriminating different classes of biological networks by analyzing the graphs spectra distribution
• Random Walks on Complex Networks

Cited by in corpus (37)

• Epidemic processes in complex networks
• Statistical physics of vaccination
• Modern temporal network theory: A colloquium
• Bots increase exposure to negative and inflammatory content in online social systems
• Quantifying the effect of temporal resolution on time-varying networks
• Network dynamics of innovation processes
• Collective behavior and evolutionary games - An introduction
• Multiplex lexical networks reveal patterns in early word acquisition in children
• Lévy flights in human behavior and cognition
• 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