Relationship between Social Network Characteristics, Flow in Class, Communication Skills, and Problem-solving Skills of Nursing Students in Simulation Nursing Education: Focusing on Social Network Analysis

Purpose: The purpose of this study was to investigate the relationship between social network characteristics, flow in class, communication skills, and problem-solving skills of nursing students in simulation.Methods: For this study a descriptive survey design was used. Participants were 100 nursing students who attended in 2 university and completed the self-report questionnaire. Data were collected from October 14 to December 6, 2019 and were analyzed with SPSS 26.0, AMOS 21.0 and Netminer 4 evaluation version.Results: It was confirmed that the task advice network centrality of nursing students fully mediates their communication skills and affects their problemsolving skills and that friendship network centrality completely mediates flow in class and communication skills, and affects problem-solving skills. Task advice network centrality, friendship network centrality, flow in class, and communication skills were found to explain problem solving skills by 51.8%.Conclusion: In order to increase the problem-solving skills of nursing students in simulation nursing education, a strategy to improve their flow in class and communication skills is essential and it suggests the need to make it part of the curriculum. In addition, in order to increase the communication skills of nursing students, it is necessary to be careful when making a team to minimize the team members isolated within the team so that smooth interaction can occur.

Cannabis Use and Emotional Intelligence in Adolescents during COVID-19 Confinement: A Social Network Analysis Approach

Confinement by COVID-19 had negative consequences on adolescent mental health, including increased cannabis use. Cannabis is related to variables that influence health and well-being. Emotional Intelligence is associated with adaptive coping styles, peer relationships, and social–emotional competencies. In adolescence, peer selection plays a unique role in the initiation of substance use. However, there are no studies during a confinement stage that analyse the relationships between networks, Emotional Intelligence, and cannabis use. The aim of this paper is to describe and analyse the consumption and friendship networks of an adolescent classroom and their relationship with Emotional Intelligence, cannabis use, and gender during COVID-19 confinement. Participants completed different questionnaires for Emotional Intelligence, cannabis use, and the consumption and friendship network. The sample consisted of 21 students from 10th grade, of which 47.6% were consumers. The friendship network correlates with the consumption network, and significant associations between emotional repair and being a cannabis user. The regression model points to the friendship network as a significant variable in predicting the classroom use network. This study highlights the role of the Social Network Analysis in predicting consumption networks during a COVID-19 confinement stage and serves as a tool for cannabis use prevention interventions in a specific population.

Friendship Network Satisfaction: A multifaceted construct scored as a unidimensional scale

Although satisfying friendships are crucial for well-being throughout adulthood, measures of friendship satisfaction have been limited by: (1) item content relevant to children only, (2) a focus on single relationships rather than the friendship network, and (3) disagreement about the number of dimensions necessary to capture the construct. To overcome these limitations, we assembled an item pool from a number of existing measures, created additional items drawn from research on friendships, and then examined the structure and psychometric properties of those items in two online surveys of over 2000 respondents each. Factor analyses consistently identified two correlated factors—closeness and socializing—but bi-factor modeling revealed that scores on both subscales load strongly on a general factor, suggesting that the multifaceted content can be scored efficiently as a unidimensional composite. Analyses using item response theory (IRT) supported the creation of a reliable 14-item instrument that demonstrated adequate convergent and predictive validity. Thus, the Friendship Network Satisfaction (FNS) Scale is a psychometrically sound tool to advance research on friendships across the lifespan.

Modelling the Spread of COVID-19 on Malaysian Contact Networks for Practical Reopening Strategies in an Institutional Setting

Reopening strategies are crucial to balance efforts of economic revitalization and bringing back a sense of normalcy while mitigating outbreaks and effectively flattening the infection curve. This paper proposes practical reopening, monitoring and testing strategies for institutions to reintroduce physical meetings based on SIR simulations run on a student friendship network collected pre-COVID-19. These serve as benchmarks to assess several testing strategies that can be applied in physical classes. Our simulations show that the best outbreak mitigation results are obtained with full knowledge of contact, but are also robust to non-compliance of students to new social interaction guidelines, simulated by partial knowledge of the interactions. These results are not only applicable to institutions but also for any organization or company wanting to navigate the COVID-19 ravaged world.

Fuzzy Thesauri Recommendation System For Web 2.0 Social networks

In the information age with billions of documents available on the Internet, searching among these documents has become quite a challenge for researchers. Since most of the search methods are based on terms within the documents, identifying the relationship between the terms has always been important in the eld of Information Retrieval. Using term relations in query expansion techniques is one of the most commonly used and successful approaches that are being used in order to help users nd what they need. In this study a fuzzy set based methodology is exploited for the retrieval and analysis of data available in Web2.0 social networking sites. The documents in each server or node are used for building a knowledge-base that will be employed by the Recommendation System in order to provide domain speci c suggestions, based on the friendship network in social networking sites. The results of the study show that the proposed methodology is reasonably scalable and can be employed on social networking sites.

Fuzzy Thesauri Recommendation System For Web 2.0 Social networks

In the information age with billions of documents available on the Internet, searching among these documents has become quite a challenge for researchers. Since most of the search methods are based on terms within the documents, identifying the relationship between the terms has always been important in the eld of Information Retrieval. Using term relations in query expansion techniques is one of the most commonly used and successful approaches that are being used in order to help users nd what they need. In this study a fuzzy set based methodology is exploited for the retrieval and analysis of data available in Web2.0 social networking sites. The documents in each server or node are used for building a knowledge-base that will be employed by the Recommendation System in order to provide domain speci c suggestions, based on the friendship network in social networking sites. The results of the study show that the proposed methodology is reasonably scalable and can be employed on social networking sites.