scholarly journals Analysing productivity and technical change in museums: A dynamic network approach

2022 ◽  
Vol 53 ◽  
pp. 24-34
Author(s):  
María José del Barrio-Tellado ◽  
Luis César Herrero-Prieto
2020 ◽  
Vol 11 ◽  
Author(s):  
Holger Diessel

Usage-based linguists and psychologists have produced a large body of empirical results suggesting that linguistic structure is derived from language use. However, while researchers agree that these results characterize grammar as an emergent phenomenon, there is no consensus among usage-based scholars as to how the various results can be explained and integrated into an explicit theory or model. Building on network theory, the current paper outlines a structured network approach to the study of grammar in which the core concepts of syntax are analyzed by a set of relations that specify associations between different aspects of a speaker’s linguistic knowledge. These associations are shaped by domain-general processes that can give rise to new structures and meanings in language acquisition and language change. Combining research from linguistics and psychology, the paper proposes specific network analyses for the following phenomena: argument structure, word classes, constituent structure, constructions and construction families, and grammatical categories such as voice, case and number. The article builds on data and analyses presented in Diessel (2019; The Grammar Network. How Linguistic Structure is Shaped by Language Use) but approaches the topic from a different perspective.


Urban Studies ◽  
2020 ◽  
pp. 004209802094348
Author(s):  
Dayong Zhang ◽  
Qiang Ji ◽  
Wan-Li Zhao ◽  
Nicholas J Horsewood

The cross-regional dependency in the UK housing market is analysed using regional house price indices. In this article, a network approach based on partial correlations is proposed, along with rolling-window analysis to consider potential time-varying dependency. The results show that house prices in the outer South East region have the strongest influence on regional housing market interactions in the UK. This influence is stronger when the markets are highly interconnected, whereas the house prices in London have the strongest influence when the UK regional housing markets are relatively less connected.


PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0209362 ◽  
Author(s):  
David Matesanz ◽  
Florian Holzmayer ◽  
Benno Torgler ◽  
Sascha L. Schmidt ◽  
Guillermo J. Ortega

2017 ◽  
Vol 30 (4) ◽  
pp. 1459-1473 ◽  
Author(s):  
Nadja Bodner ◽  
Peter Kuppens ◽  
Nicholas B. Allen ◽  
Lisa B. Sheeber ◽  
Eva Ceulemans

AbstractThe prevalence of depression rises steeply during adolescence. Family processes have been identified as one of the important factors that contribute to affect (dys)regulation during adolescence. In this study, we explored the affect expressed by mothers, fathers, and adolescents during a problem-solving interaction and investigated whether the patterns of the affective interactions differed between families with depressed adolescents and families with nondepressed adolescents. A network approach was used to depict the frequencies of different affects, concurrent expressions of affect, and the temporal sequencing of affective behaviors among family members. The findings show that families of depressed adolescents express more anger than families of nondepressed adolescents during the interaction. These expressions of anger co-occur and interact across time more often in families with a depressed adolescent than in other families, creating a more self-sustaining network of angry negative affect in depressed families. Moreover, parents’ angry and adolescents’ dysphoric affect follow each other more often in depressed families. Taken together, these patterns reveal a particular family dynamic that may contribute to vulnerability to, or maintenance of, adolescent depressive disorders. Our findings underline the importance of studying affective family interactions to understand adolescent depression.


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