Program

Massimo Stella, Nicole Beckage, Markus Brede, Nichol Castro, Manlio De Domenico

Multiplex lexical networks reveal patterns of explosive cognitive development and impairment

Marcus Kaiser

Principles of Connectome Development: The role of time windows for forming modular, long-range and hub connectivity

Gemma Rosell-Tarrago, Emanuele Cozzo, Albert Diaz-Guilera

A complex network framework to model cognition: Unveiling correlation structures from connectivity

Dirk Wulff

Meanings of risk across the lifespan

Thomas Hills

Cognitive Network Science Across One or More Lifespans

Ramon Ferrer-i-Cancho, Michael Vitevitch

Zipf’s meaning-frequency law: A forgotten law

Eva Jimenez, Eileen Haebig, Thomas Hills

Semantic network analysis of vocabularies of children with Autism Spectrum Disorder to explore word learning mechanisms

Trevor Swanson

Using mixed temporal networks to model the affective dynamics of mood and self-structure over time-varying social contexts

Paul Seitlinger, Tobias Ley, Helena Flemming, Dietrich Albert

A neural network account of creativity-related differences in memory search: Empirical evidence from an association chain task

Joe Austerweil

Revealing Knowledge Impairment Due to Alzheimer’s Disease Using Novel Network Science Methods

Simon De Deyne

The inferential capacity of paradigmatic and syntagmatic relations in semantic networks

Cynthia Siew

Investigating the influence of similarity structure of language networks on visual word recognition: Insights from megastudies

Ying Li, Tomas Engelthaler, Cynthia Siew, Thomas Hills

Quantifying Cultural History: Insights from a massive matrix of historical word co-occurrence

Orr Levy, Yoed Kenett, Orr Oxenberg, Nichol Castro, Simon De Deyne, Michael Vitevitch, Shlomo Havlin

Quantifying the interaction between phonology and semantics via a multiplex network approach