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Keywords (Learning or education) AND "s...

(Learning or education) AND "social network analysis"

https://read.qxmd.com/read/38756930/multi-isnadset-mis-for-sahih-muslim-hadith-with-chain-of-narrators-based-on-multiple-isnad
#1
JOURNAL ARTICLE
Aziz Mehmood Farooqi, Rauf Ahmed Shams Malick, Muhammad Shahzad Shaikh, Adnan Akhunzada
In the Islamic domain, Hadiths hold significant importance, standing as crucial texts following the Holy Quran. Each Hadith contains three main parts: the ISNAD (chain of narrators), TARAF (starting part, often from Prophet Muhammad), and MATN (Hadith content). ISNAD, a chain of narrators involved in transmitting that particular MATN. Hadith scholars determine the trustworthiness of the transmitted MATN by the quality of the ISNAD. The ISNAD's data is available in its original Arabic language, with narrator names transliterated into English...
June 2024: Data in Brief
https://read.qxmd.com/read/38735124/why-do-users-continue-to-contribute-to-darknet-child-sexual-abuse-material-forums-examining-social-exchange-social-capital-and-social-learning-explanations-using-digital-forensic-artifacts
#2
JOURNAL ARTICLE
Arjan Blokland, Anton Daser, Meike de Boer, Colm Gannon, Frederic Gnielka, Salla Huikuri, Rebecca Reichel, Thomas Shäfer, Alexander F Schmidt, Katarzyna Staciwa, Robert Lehmann
BACKGROUND: The darknet hosts an increasing number of hidden services dedicated to the distribution of child sexual abuse material (CSAM). Given that by contributing CSAM to the forum members subject themselves to criminal prosecution, questions regarding the motivation for members contributing to darknet CSAM forums arise. OBJECTIVE: Building on insights gained from research into clearnet communities, here we examine the extent to which social incentives generated by the online CSAM community may explain members' posting behavior on darknet CSAM forums...
May 11, 2024: Child Abuse & Neglect
https://read.qxmd.com/read/38691225/strategic-analysis-of-collaborative-networks-in-spodoptera-frugiperda-lepidoptera-noctuidae-research-for-improved-pest-management-strategies
#3
REVIEW
Prajith Karakkottil, Lalsiemlien Pulamte, Vipan Kumar
The fall armyworm (FAW) poses a significant global threat to food security, and economics. Timely detection is crucial, and this research explores innovative techniques like data analysis, remote sensing, satellite imagery, and AI with machine learning algorithms for predicting and managing outbreaks. Emphasizing the importance of community engagement and international collaboration, social network analysis (SNA) is employed to uncover collaborative networks in FAW management research. The study analyzes a decade of research, revealing trends, influential institutions, authors, and countries, providing insights for efficient FAW management strategies...
May 1, 2024: Neotropical Entomology
https://read.qxmd.com/read/38602782/understanding-rural-social-networks-addressing-adverse-childhood-experiences-a-case-study-of-the-san-luis-valley
#4
JOURNAL ARTICLE
Jennifer A Lawlor, Jini Puma, Jamie Powers, Marlayna Martinez, Danielle Varda, Jenn A Leiferman
INTRODUCTION: The purpose of this study is to assess a cross-sector, interorganizational network addressing adverse childhood experiences (ACEs) in a rural Colorado community. We characterize the organizations in the network, assess their awareness of ACEs, and evaluate how they participate in the network. We also assess the network health. METHOD: Employing a social network analysis approach, we collected survey data from 45 organizations that support young children and their families, including nonprofits, health care clinics, and early childhood education centers, among others...
April 11, 2024: Families, Systems & Health: the Journal of Collaborative Family Healthcare
https://read.qxmd.com/read/38601263/unveiling-the-impact-of-communication-network-on-engineering-project-team-performance-the-interplay-of-centralization-and-tie-strength
#5
JOURNAL ARTICLE
Xue Ding, Qian Shi, Chao Xiao
PURPOSE: Recent research has focused on the impact of communication networks on the performance of construction project teams, attempting empirical exploration from various social network analysis perspectives. However, there is still a significant gap in understanding the variations in performance and the mechanisms for teams using different communication networks. Drawing from organizational learning theory and social network theory, this study, based on the Input-Mediator-Output (IMO) model, explores the effects of the interaction between centralization and tie strength in communication networks on team performance, as well as the mediating mechanisms of knowledge sharing behavior and team resilience performance in engineering project teams...
2024: Psychology Research and Behavior Management
https://read.qxmd.com/read/38540624/medication-seeking-behaviors-and-correlated-characteristics-of-zolpidem-users-in-taiwan-a-shared-patient-network-analysis
#6
JOURNAL ARTICLE
Yi-Ju Pan, Sheng-Hsuan Chang, Wei-Chen Lee, Yu-Chun Chen
Increasing insomnia signals a public health problem, alongside rising zolpidem use. This study investigates the factors behind the disproportionate rise in zolpidem prescriptions in Taiwan. It aims to identify the determinants of high-dose zolpidem users in Taiwan's Yilan County and employ an innovative approach to outline their medication-seeking patterns, using Taiwan's healthcare database. The associations between sociodemographic and clinical factors and low-dose and high-dose users were analyzed using multiple logistic regression...
March 14, 2024: Healthcare (Basel, Switzerland)
https://read.qxmd.com/read/38528513/care-complexity-perceptions-of-complexity-and-preferences-for-interprofessional-collaboration-an-analysis-of-relationships-and-social-networks-in-paediatrics
#7
JOURNAL ARTICLE
Lisa-Maria van Klaveren, Vincent Geukers, Rien de Vos
BACKGROUND: In the context of increasingly intricate healthcare systems, professionals are compelled to collaborate within dynamically changing interprofessional teams. Moreover, they must adapt these collaborative processes to effectively and efficiently manage the evolving complexity of care needs. It remains unclear how professionals determine care complexity and relate this complexity to their preferences for interprofessional collaboration (IPC). This study investigated the relationships between care complexity, professionals' perceived complexity and IPC preferences, and examined the variation in individual and team characteristics of IPC-practices across different levels of complexity in paediatric care...
March 25, 2024: BMC Medical Education
https://read.qxmd.com/read/38524571/a-social-network-analysis-of-college-students-online-learning-during-the-epidemic-era-a-triadic-reciprocal-determinism-perspective
#8
REVIEW
Jun Chai, Jian-Hong Ye
The way in which college students learn online has dramatically altered due to the COVID-19 pandemic. Using the triadic reciprocal determinism (TRD) theory, this study aimed to identify the key factors influencing college students' online learning experience through sentiment analysis, text mining, and social network analysis (SNA). Macro- and micro-level parsing was conducted on the SNA model, which was divided into core, mantle, and shell layers to determine the most influential factors in the core layer...
March 30, 2024: Heliyon
https://read.qxmd.com/read/38515560/optimal-physician-shared-patient-networks-and-the-diffusion-of-medical-technologies
#9
JOURNAL ARTICLE
A James O'Malley, Xin Ran, Chuankai An, Daniel Rockmore
Social network analysis has created a productive framework for the analysis of the histories of patient-physician interactions and physician collaboration. Notable is the construction of networks based on the data of "referral paths" - sequences of patient-specific temporally linked physician visits - in this case, culled from a large set of Medicare claims data in the United States. Network constructions depend on a range of choices regarding the underlying data. In this paper we introduce the use of a five-factor experiment that produces 80 distinct projections of the bipartite patient-physician mixing matrix to a unipartite physician network derived from the referral path data, which is further analyzed at the level of the 2,219 hospitals in the final analytic sample...
July 2023: Journal of Data Science: JDS
https://read.qxmd.com/read/38514250/the-role-of-academic-performance-prosocial-behaviour-and-friendships-on-adolescents-preferred-studying-partners-a-longitudinal-social-network-analysis
#10
JOURNAL ARTICLE
Diego Palacios, Christian Berger, Bernardette Paula Luengo Kanacri, Mark Huisman, René Veenstra
BACKGROUND: Peers constitute an important developmental context for adolescent academic behaviour providing support and resources to either promote or discourage attitudes and behaviours that contribute to school success. When looking for academic help, students may prefer specific partners based on their social goals regarding academic performance. AIMS: Based on the social goals for wanting to achieve academically (e.g., studying to be with friends, increasing/maintaining their own social status), we examine the extent to which adolescents' selection of preferred academic partners (with whom they would like to study) is driven by peers' academic performance, prosocial behaviour and friendships...
March 21, 2024: British Journal of Educational Psychology
https://read.qxmd.com/read/38445540/social-network-analysis-of-the-care-2-health-equity-center-team-science-in-full-display
#11
JOURNAL ARTICLE
Miriam O Ezenwa, Thomas Bryan Smith, Joyce Richey, Ukamaka D Smith, Mariana C Stern, Renee Reams, Diana J Wilkie
Cancer health disparities that exist in the Black or African American and Hispanic or Latino/x communities are scientific challenges, yet there are limited team science approaches to mitigate these challenges. This article's purpose is to evaluate the team science collaborations of the National Institutes of Health-funded Florida-California Cancer Research, Education & Engagement (CaRE2 ) Center partnership underscoring the inclusion of multidisciplinary team members and future under-represented minority (URM) cancer researchers...
March 2024: Clinical and Translational Science
https://read.qxmd.com/read/38438921/building-a-communication-and-support-network-among-quality-improvement-teams-in-nursing-homes-a-longitudinal-study-of-the-scope-trial
#12
JOURNAL ARTICLE
Reza Yousefi Nooraie, Qiuyuan Qin, Adrian Wagg, Whitney Berta, Carole Estabrooks
BACKGROUND: We applied a longitudinal network analysis approach to assess the formation of knowledge sharing and collaboration networks among care aide-led quality improvement (QI) teams in Canadian nursing homes participating in the Safer Care for Older Persons (in residential) Environments (SCOPE) trial which aimed to support unregulated front-line staff to lead unit-based quality improvement (QI) teams in nursing homes. We hypothesized that SCOPE's communicative and participatory nature would provide opportunities for peer support, knowledge sharing, and collaboration building among teams...
March 4, 2024: Implementation science communications
https://read.qxmd.com/read/38410423/topic-modeling-and-social-network-analysis-approach-to-explore-diabetes-discourse-on-twitter-in-india
#13
JOURNAL ARTICLE
Thilagavathi Ramamoorthy, Vaitheeswaran Kulothungan, Bagavandas Mappillairaju
INTRODUCTION: The utilization of social media presents a promising avenue for the prevention and management of diabetes. To effectively cater to the diabetes-related knowledge, support, and intervention needs of the community, it is imperative to attain a deeper understanding of the extent and content of discussions pertaining to this health issue. This study aims to assess and compare various topic modeling techniques to determine the most effective model for identifying the core themes in diabetes-related tweets, the sources responsible for disseminating this information, the reach of these themes, and the influential individuals within the Twitter community in India...
2024: Frontiers in artificial intelligence
https://read.qxmd.com/read/38395393/graduate-student-literature-review-social-and-feeding-behavior-of-group-housed-dairy-calves-in-automated-milk-feeding-systems
#14
REVIEW
Maria E Montes, Jacquelyn P Boerman
Automated milk feeders (AMF) allow farmers to raise calves in groups while generating individual records on milk consumption, drinking speed, and frequency of visits. Calves raised in groups benefit from social interaction, which facilitates learning and adapting to novelty. However, calves in large groups (>12 calves/feeder) experience a higher risk of disease transmission and competition than those housed individually or in smaller groups. Therefore, if group size, grouping strategy, and disease detection are not optimal, the health and performance of calves can be compromised...
February 21, 2024: Journal of Dairy Science
https://read.qxmd.com/read/38384551/technology-enhanced-higher-education-text-mining-and-bibliometrics
#15
REVIEW
Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang
OBJECTIVES: Research on technology-enhanced higher education (TEHE) has been active and influential in educational technology. The study had three objectives: (1) to recognize the tendencies in the field and the contributing countries/regions/institutions, (2) to visualize scientific collaborations, and (3) to reveal important research topics, their developmental tendencies, correlations, and distributions across contributing countries/regions/institutions. METHODS: We collected 609 papers in relation to TEHE from 2004 to 2022 and analyzed them using text mining and bibliometric methods...
February 29, 2024: Heliyon
https://read.qxmd.com/read/38367350/using-personal-network-analysis-to-understand-the-interaction-between-programmes-facilitators-and-teachers-in-psychoeducational-interventions
#16
JOURNAL ARTICLE
Isidro Maya Jariego, Andrés Muñoz Alvis, Daniel Villar Onrubia
In this study we use personal network analysis to examine the social relationships taking place throughout programme implementation. Previous literature on psychosocial intervention has used network analysis techniques to examine: (a) the interaction between participants, (b) the facilitators' link to the intervention target group, (c) the transfer of knowledge between experts and facilitators, and (d) the interaction of facilitators with each other. However, there has been little research on how facilitators connect with other figures in their organisational context, impacting both intervention fidelity and the fit of the programme to the local context...
February 13, 2024: Evaluation and Program Planning
https://read.qxmd.com/read/38358706/changes-in-patterns-of-peer-relationships-in-primary-education-classroom-networks-through-cooperative-learning
#17
JOURNAL ARTICLE
M A Veldman, S Doolaard, R J Bosker, T A B Snijders
We studied the impact of cooperative learning on positive peer relationships, that is, liking to work together, in classroom networks. Cooperative learning was implemented as part of the "Success for All" program. Longitudinal social network analysis was used to investigate the development of structures and patterns of relationships in 16 intervention and 16 control classrooms, including a total of 791 students. Results showed significantly less reciprocation and transitivity in the dynamics of the intervention networks, while the number of nominations in the intervention classes was at least not smaller than in the control classes, indicating less tendency toward the formation of small clusters or cliques...
February 15, 2024: School psychology
https://read.qxmd.com/read/38306614/family-helps-transform-the-stem-pathways-of-community-college-women-of-color-stem-majors
#18
JOURNAL ARTICLE
Melo-Jean Yap, Jasmine Foriest, Kalli Walker, Sara Sanford, Adrienne Rice
A "critical access point in the STEM pipeline for Latinx students and other students of color" (Herrera et al. , 2018), community colleges provide a seminal breeding ground for academic pursuits (Bahr et al. , 2017). However, how personal networks influence STEM pathways of two-year college students remains largely unexplored. This mixed methods case study explores influence of personal networks on pursuing STEM fields via social network analysis and qualitative narratives. 36 women of color STEM majors at a two-year urban Hispanic-Serving Institution were interviewed via social network questionnaire...
March 2024: CBE Life Sciences Education
https://read.qxmd.com/read/38289616/generating-detailed-intercellular-communication-patterns-in-psoriasis-at-the-single-cell-level-using-social-networking-pattern-recognition-and-manifold-learning-methods-to-optimize-treatment-strategies
#19
JOURNAL ARTICLE
Ying Xiong, Sidi Li, Yunmeng Bai, Ting Chen, Wenwen Sun, Lijie Chen, Jia Yu, Liwei Sun, Chijun Li, Jiajian Wang, Bo Wu
Psoriasis, a complex and recurrent chronic inflammatory skin disease involving various inflammatory cell types, requires effective cell communication to maintain the homeostatic balance of inflammation. However, patterns of communication at the single-cell level have not been systematically investigated. In this study, we employed social network analysis tools, pattern recognition, and manifold learning to compare molecular communication features between psoriasis cells and normal skin cells. Utilizing a process that facilitates the discovery of cell type-specific regulons, we analyzed internal regulatory networks among different cells in psoriasis...
January 29, 2024: Aging
https://read.qxmd.com/read/38269370/navigating-the-asthma-network-on-twitter-insights-from-social-network-and-sentiment-analysis
#20
JOURNAL ARTICLE
Hening Pratiwi, Ria Benkő, Ikhwan Yuda Kusuma
BACKGROUND: Asthma is a condition in which the airways become inflamed and constricted, causing breathing difficulties, wheezing, coughing, and chest tightness. Social networks can have a substantial effect on asthma management and results. However, no studies of social networks addressing asthma have been undertaken. OBJECTIVE: The aim of this research was to identify the significant social network structures, key influencers, top topics, and sentiments of asthma-related Twitter conversations...
2024: Digital Health
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