scholarly journals Corrigendum: Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach

2021 ◽  
Vol 12 ◽  
Author(s):  
Qihui Xu ◽  
Magdalena Markowska ◽  
Martin Chodorow ◽  
Ping Li
2021 ◽  
Vol 12 ◽  
Author(s):  
Qihui Xu ◽  
Magdalena Markowska ◽  
Martin Chodorow ◽  
Ping Li

The study of code-switching (CS) speech has produced a wealth of knowledge in the understanding of bilingual language processing and representation. Here, we approach this issue by using a novel network science approach to map bilingual spontaneous CS speech. In Study 1, we constructed semantic networks on CS speech corpora and conducted community detections to depict the semantic organizations of the bilingual lexicon. The results suggest that the semantic organizations of the two lexicons in CS speech are largely distinct, with a small portion of overlap such that the semantic network community dominated by each language still contains words from the other language. In Study 2, we explored the effect of clustering coefficients on language choice during CS speech, by comparing clustering coefficients of words that were code-switched with their translation equivalents (TEs) in the other language. The results indicate that words where the language is switched have lower clustering coefficients than their TEs in the other language. Taken together, we show that network science is a valuable tool for understanding the overall map of bilingual lexicons as well as the detailed interconnections and organizations between the two languages.


2020 ◽  
Vol 12 (5) ◽  
pp. 1858
Author(s):  
Daniel Schmitt ◽  
Chisenga Muyoya

The number of scholars working on transition concepts in the Global South is rapidly increasing. In this context, a substantial amount of research output particularly focusses on niches and how they affect transition towards sustainability in a wider framework of the multi-level-perspective. At the same time, there is a growing interest in digital technology and its effect on sustainability challenges. In this article, we combine the two fields, and by utilizing social media data, we create an innovative network science approach to analyze the production environment of digital innovations in Africa. We focus on three innovation hubs that we conceptualize as niches and innovation intermediaries that not only create communities to develop, test and implement new technology but also function as networks to discuss and form new ideas around innovations. Our key findings show how local communities are embedded in larger innovation structures. The connections between local stakeholders and global actors are predominantly created through bridge actors, who hold key positions in their communities. With tools from network science, we demonstrate that these linking elements can regulate and steer discussions and therefore, strongly influence digital niche environments. Utilizing geographical location data, we can also see that the online space of technological innovations in Africa is heavily cantered in urban areas.


2017 ◽  
Vol 9 ◽  
pp. 184797901773574 ◽  
Author(s):  
Giovanna Ferraro ◽  
Antonio Iovanella

This article offers a network perspective on the collaborative effects of technology transfer, providing a research methodology based on the network science paradigm. We argue that such an approach is able to map and describe the set of entities acting in the technology transfer environment and their mutual relationships. We outline how the connections’ patterns shape the organization of the networks by showing the role of the members within the system. By means of a case study of a transnational initiative aiming to support the technology transfer within European countries, we analyse the application of the network science approach, giving evidence of its relative implications.


2019 ◽  
Vol 109 (6) ◽  
pp. 1205-1229 ◽  
Author(s):  
Livio Bioglio ◽  
Valentina Rho ◽  
Ruggero G. Pensa

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