Results 51 to 60 of about 7,273,685 (301)

Data From the MySWOW Proof-of-Concept Study: Linking Individual Semantic Networks and Cognitive Performance

Journal of Open Psychology Data, 2022
We report data from a proof-of-concept study involving the concurrent assessment of large-scale individual semantic networks and cognitive performance.
Dirk U. Wulff, Samuel Aeschbach, Simon De Deyne, Rui Mata   +3 more
doaj   +1 more source

Improving source code suggestion with code embedding and enhanced convolutional long short‐term memory

IET Software, 2021
Source code suggestion is the utmost helpful feature in the integrated development environments that helps to quicken software development by suggesting the next possible source code tokens.
Yasir Hussain, Zhiqiu Huang, Yu Zhou
doaj   +1 more source

Grammar-Based Geodesics in Semantic Networks

, 2010
A geodesic is the shortest path between two vertices in a connected network. The geodesic is the kernel of various network metrics including radius, diameter, eccentricity, closeness, and betweenness.
Aleman-Meza, Anyanwu, Bavelas, Blanco-Fernández, Bollen, Bollen, Bonacich, Brandes, Brin, Carroll, Chitrapura, Cormen, Dijkstra, Freeman, Harary, Jennifer H. Watkins, Leavitt, Lin, Marko A. Rodriguez, Newman, Rodriguez, Rodriguez, Rodriguez, Rodriguez, Sabidussi, Sheth, Sowa, Wasserman, Weiss, Zhuge   +29 more
core   +1 more source

The Concept “Semantic Invariant" as a Cognitive Term

Дискурс, 2020
Introduction. The purpose of the paper is to prove the semantic integrity of the meanings of polysemous words based on the use of the concepts “semantic network“ and “lexical invariant“.
S. A. Pesina
doaj   +1 more source

Phrasal verbs with off may not be hard to pull off [PDF]

Studies in Linguistics, Culture, and FLT, 2016
This article studies the phrasal verbs (PV) widely used in contemporary English. They are challenging to foreign language learners not only because they are numerous but also with their multiple meanings.
Svetlana Nedelcheva
doaj   +1 more source

Grammar-Based Random Walkers in Semantic Networks

, 2008
Semantic networks qualify the meaning of an edge relating any two vertices. Determining which vertices are most "central" in a semantic network is difficult because one relationship type may be deemed subjectively more important than another.
Aleman-Meza, Bollen, Bollen, Bonacich, Brin, Ching, Cohen, Crestani, Crestani, Gasevic, Gasevic, Getoor, Häggström, Lacy, Langville, Lin, Marko A. Rodriguez, Mitrani, Parzen, Rada, Savoy, Sebesta, Sheth, Sowa, Trefethen, Wasserman   +25 more
core   +1 more source

Investigating the structure of semantic networks in low and high creative persons

Frontiers in Human Neuroscience, 2014
According to Mednick’s (1962) theory of individual differences in creativity, creative individuals appear to have a richer and more flexible associative network than less creative individuals. Thus, creative individuals are characterized by flat (broader
Yoed Nissan Kenett, David eAnaki, David eAnaki, Miriam eFaust, Miriam eFaust   +4 more
doaj   +1 more source

Automated analysis of actor–topic networks on twitter: New approaches to the analysis of socio‐semantic networks

J. Assoc. Inf. Sci. Technol., 2019
Social media data provide increasing opportunities for the automated analysis of large sets of textual documents. So far, automated tools have been developed either to account for the social networks among participants in the debates, or to analyze the ...
I. Hellsten, L. Leydesdorff
semanticscholar   +1 more source

Cognitive Network Science Reconstructs How Experts, News Outlets and Social Media Perceived the COVID-19 Pandemic

Systems, 2020
This work uses cognitive network science to reconstruct how experts, influential news outlets and social media perceived and reported the news “COVID-19 is a pandemic”.
Massimo Stella
doaj   +1 more source

A simple clustering approach to map the human brain's cortical semantic network organization during task

NeuroImage
Constructing task-state large-scale brain networks can enhance our understanding of the organization of brain functions during cognitive tasks. The primary goal of brain network partitioning is to cluster functionally homogeneous brain regions.
Yunhao Zhang, Shaonan Wang, Nan Lin, Lingzhong Fan, Chengqing Zong   +4 more
doaj   +1 more source