scholarly journals Multiplexity analysis of networks using multigraph representations

2021 ◽  
Author(s):  
Termeh Shafie ◽  
David Schoch
Keyword(s):  
Structural Variables ◽  
Confirmatory Analysis

AbstractMultivariate networks comprising several compositional and structural variables can be represented as multigraphs by various forms of aggregations based on vertex attributes. We propose a framework to perform exploratory and confirmatory multiplexity analysis of aggregated multigraphs in order to find relevant associations between vertex and edge attributes. The exploration is performed by comparing frequencies of the different edges within and between aggregated vertex categories, while the confirmatory analysis is performed using derived complexity or multiplexity statistics under different random multigraph models. These statistics are defined by the distribution of edge multiplicities and provide information on the covariation and dependencies of different edges given vertex attributes. The presented approach highlights the need to further analyse and model structural dependencies with respect to edge entrainment. We illustrate the approach by applying it on a well known multivariate network dataset which has previously been analysed in the context of multiplexity.

Cannabis use in Switzerland: The role of attribution of drug use to friends, urbanization and repression 1The study was supported by the Swiss Federal Office of Public Health (Bundesamt für Gesundheit BAG) Grant 316.96.5980.

2001 ◽  
Vol 60 (2) ◽  
pp. 99-107 ◽  
Author(s):  
Holger Schmid
Keyword(s):  
Drug Use ◽  
Urban Areas ◽  
Hierarchical Linear Model ◽  
Cannabis Use ◽  
School Aged Children ◽  
Structural Variables ◽  
Hbsc Study ◽  
Nationally Representative ◽  
Highly Correlated ◽  
Individual Use

Cannabis use does not show homogeneous patterns in a country. In particular, urbanization appears to influence prevalence rates, with higher rates in urban areas. A hierarchical linear model (HLM) was employed to analyze these structural influences on individuals in Switzerland. Data for this analysis were taken from the Switzerland survey of Health Behavior in School-Aged Children (HBSC) Study, the most recent survey to assess drug use in a nationally representative sample of 3473 15-year-olds. A total of 1487 male and 1620 female students indicated their cannabis use and their attributions of drug use to friends. As second level variables we included address density in the 26 Swiss Cantons as an indicator of urbanization and officially recorded offences of cannabis use in the Cantons as an indicator of repressive policy. Attribution of drug use to friends is highly correlated with cannabis use. The correlation is even more pronounced in urban Cantons. However, no association between recorded offences and cannabis use was found. The results suggest that structural variables influence individuals. Living in an urban area effects the attribution of drug use to friends. On the other hand repressive policy does not affect individual use.

Syntactic and Phonological Influences on Children’s Articulation

1979 ◽  
Vol 22 (4) ◽  
pp. 841-848 ◽  
Author(s):  
John M. Panagos ◽  
Mary Ellen Quine ◽  
Richard J. Klich
Keyword(s):  
Noun Phrase ◽  
Syntactic Structure ◽  
Structural Complexity ◽  
Declarative Sentence ◽  
Word Structure ◽  
Phonological Structure ◽  
Phonological Deficits ◽  
Word Position ◽  
Structural Variables ◽  
Passive Sentence

The effects of syntactic and phonological structure on the consonant articulations of children with phonological deficits were investigated. Three structural variables were studied: syntactic structure (noun phrase, declarative sentence and passive sentence), word structure (monosyllable and disyllable) and word position (initial and final). Syntactic structure and word structure significantly affected the accuracy of articulation and the degree of word simplification. Structural complexity may contribute to overall hierarchial complexity, in turn causing children to simplify their speech.

scholarly journals The Influence of Government Effectiveness and Corruption on the High Levels of Homicide in Latin America

2021 ◽  
Vol 10 (5) ◽  
pp. 172
Author(s):  
Spencer P. Chainey ◽  
Gonzalo Croci ◽  
Laura Juliana Rodriguez Forero
Keyword(s):  
Economic Development ◽  
Latin America ◽  
Latin American ◽  
International Variation ◽  
Government Effectiveness ◽  
Latin American Region ◽  
Socio Economic Development ◽  
Structural Variables ◽  
The Relationship ◽  
Latin America Region

Most research that has examined the international variation in homicide levels has focused on structural variables, with the suggestion that socio-economic development operates as a cure for violence. In Latin America, development has occurred, but high homicide levels remain, suggesting the involvement of other influencing factors. We posit that government effectiveness and corruption control may contribute to explaining the variation in homicide levels, and in particular in the Latin America region. Our results show that social and economic structural variables are useful but are not conclusive in explaining the variation in homicide levels and that the relationship between homicide, government effectiveness, and corruption control was significant and highly pronounced for countries in the Latin American region. The findings highlight the importance of supporting institutions in improving their effectiveness in Latin America so that reductions in homicide (and improvements in citizen security in general) can be achieved.

Nosocomial Infection and Multidrug-Resistant Bacteria Surveillance in Intensive Care Units: A Survey in France

2005 ◽  
Vol 26 (1) ◽  
pp. 13-20 ◽  
Author(s):  
François L'Hériteau ◽  
Corinne Alberti ◽  
Yves Cohen ◽  
Gilles Troché ◽  
Pierre Moine ◽  
...  
Keyword(s):  
Nosocomial Infection ◽  
Infection Control ◽  
Multiple Correspondence Analysis ◽  
Venous Catheter ◽  
Multidrug Resistant ◽  
Resistant Bacteria ◽  
Central Venous ◽  
Venous Catheterization ◽  
Structural Variables ◽  
Tract Infections

AbstractObjectives:To evaluate nosocomial infection (NI) surveillance strategies in French ICUs and to identify similar patterns defining subsets within which comparisons can be made.Design:A questionnaire was sent to all French ICUs, and a random sample of nonresponders was interviewed.Participants:Three hundred ninety-five responder ICUs (69%) in France.Results:In 282 ICUs (71%), a dedicated ICU staff member was responsible for infection control activities. The microbiology laboratory was usually in the hospital (90%) and computerized (94%) but issued regular hospital microbiology records in only 48% of cases. Patients receiving mechanical ventilation, central venous catheterization, and urinary catheterization were 90%, 79%, and 60%, respectively. Patients were screened for carriage of mul-tidrug-resistant bacteria on admission and during the stay in 70% and 60% of ICUs, respectively, most often targeting MRSA. Quantitative cultures were used to diagnose ventilator-associated pneumonia (VAP) in 90% of ICUs, including distal specimens in 80% and bronchoscopy specimens in 60%. Quantitative central venous catheter (CVC)-segment cultures were used in 70% of ICUs. All CVCs were cultured routinely in 53% of the ICUs. Despite wide variations in infection control and surveillance strategies, multiple correspondence analysis identified 13 key points (4 structural variables and 9 variables concerning the diagnosis of VAP, the surveillance and diagnosis of catheter-related and urinary tract infections, and the mode of screening of MRSA carriers) that categorize the variability of French ICUs' approaches to NIs.Conclusion:This study revealed profound differences in N1 surveillance strategies across ICUs, indicating a need for caution when using N1 surveillance data for comparisons and benchmarking.

Motivational Climate Measures in Sport: A Systematic Review

2021 ◽  
Vol 24 ◽  
Author(s):  
Adriana Lacerda ◽  
Alberto Filgueiras ◽  
Marianna Campos ◽  
Richard Keegan ◽  
Jesús Landeira-Fernández
Keyword(s):  
Motivational Climate ◽  
Factorial Structure ◽  
Inclusion Criteria ◽  
Psychometric Characteristics ◽  
Cognitive Approach ◽  
Theoretical Perspectives ◽  
Environmental Status ◽  
Structural Variables ◽  
New Instruments ◽  
Critical Consideration

Abstract Motivational climate can be defined as the environmental status of sport that influences motivation levels. The present study aimed to systematically identify the most widely used measures examining motivational climate. The databases for searching were PsycNET, PubMed and ScienceDirect. The search returned a total of 378 studies of which 8 met the inclusion criteria for analysis. The results show that the most used instruments for evaluation of motivational climate have good psychometric characteristics of reliability, validity and factorial structure. On the other hand, there was a lack of studies that analyzed invariance of measures, which may be a critical consideration. Finally, the review points out the need for development of new theoretical perspectives, potential new instruments that extend beyond the socio-cognitive approach and instruments that allow the measurement of other environmental, personal and structural variables other than parents, coaches and athletes.

Organizational structure and innovation: analysis from the strategic co-alignment

2016 ◽  
Vol 29 (4) ◽  
pp. 388-406 ◽  
Author(s):  
Diego Armando Marín-Idárraga ◽  
Juan Carlos Cuartas
Keyword(s):  
Organizational Structure ◽  
Organizational Performance ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Model ◽  
Empirical Validation ◽  
Content Type ◽  
Determining Factors ◽  
Structural Variables ◽  
Innovation Analysis

Purpose The purpose of this paper is to determine the effect of the co-alignment of structural variables on innovation, wherein Bogotá-based SMEs, belonging to the industrial, commercial and services sectors, were used as samples. Design/methodology/approach The study was conducted using a causal inference methodology and through the application of a structural equation model. Findings The results indicate that organizational structure has an influence on innovation, although this is true only for some variables and only when the analysis is performed separately. When performed under strategic co-alignment conditions, however, its influence becomes greater. Originality/value Organizational structure and innovation are determining factors of organizational performance. Although the strategic co-alignment theory has provided points of reference to understanding the phenomenon of organizational performance, there are still many gaps left to be filled. Additionally, it also requires empirical validation especially in relation to Colombian SMEs – and this is where this work makes a contribution.

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