Networks in Cognitive Science

By Andrea Baronchelli, Ramon Ferrer-i-Cancho, Romualdo Pastor-Satorras, N. Chater, Morten H. Christiansen. Trends in Cognitive Sciences, 2013

304 citations recorded by the source corpus.

Networks of interconnected nodes have long played a key role in Cognitive Science, from artificial neural networks to spreading activation models of semantic memory. 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.

Subfields: Experimental and Cognitive Psychology, Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/d709465fb98a099e7654aa62c3d23d7b857e3711

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Citations in the corpus

Real-world visual statistics and infants' first-learned object names (2017, background): “they typically exhibit a scale-free or small-world structure, showing clusters of inter-related items as well as sparser links among the clusters [82-84].”
Homological scaffolds of brain functional networks (2014, background): “Network theory is an elegant framework to approach these questions, thanks to its simplicity and versatility [1].”
Bots increase exposure to negative and inflammatory content in online social systems (2018, unknown): “We quantify the importance of concepts by identifying the hashtags with the highest degree, strength, and closeness centrality—characterizing number of different associations, total frequency of co-occurrences, and how closely hashtags are associated, respectively (26, 29, 30).”
Modern temporal network theory: a colloquium (2015, background): “In neuroscience, networks have become a useful tool to understand the organization function of the brain and how different types of conditions alter the coupling between different regions [217,269,15].”
Structure and flexibility: Investigating the relation between the structure of the mental lexicon, fluid intelligence, and creative achievement. (2016, methodology): “At the cognitive level, this approach is mainly applied to investigate complex systems of language and memory structure (Baronchelli et al., 2013; Borge-Holthoefer & Arenas, 2010; Chan & Vitevitch, 2010; De Deyne, Kenett, Anaki, Faust, & Navarro, in press; De Deyne & Storms, 2008; Kenett et al., 201”