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(Learning or education) AND "social network analysis"

Janet Klara Djomba, Lijana Zaletel-Kragelj
INTRODUCTION: Research on social networks in public health focuses on how social structures and relationships influence health and health-related behaviour. While the sociocentric approach is used to study complete social networks, the egocentric approach is gaining popularity because of its focus on individuals, groups and communities. METHODS: One of the participants of the healthy lifestyle health education workshop 'I'm moving', included in the study of social support for exercise was randomly selected...
December 1, 2016: Zdravstveno Varstvo
Carlene J Wilson, Kayla de la Haye, John Coveney, Donna L Hughes, Amanda Hutchinson, Caroline Miller, Ivanka Prichard, Paul Ward, Laura M Koehly
BACKGROUND: Common disease risk clusters in families due to shared genetics, exposure to environmental risk factors, and because many health behaviours are established and maintained in family environments. This randomised controlled trial will test whether the provision of a family health history (FHH) risk assessment tool increases intentions and engagement in health behaviors. Message distribution and collective behavior change within family networks will be mapped using social network analysis...
2016: BMC Public Health
Annie Banbury, Daniel Chamberlain, Susan Nancarrow, Jared Dart, Len Gray, Lynne Parkinson
Social support is a key component in managing long-term conditions. As people age in their homes, there is a greater risk of social isolation, which can be ameliorated by informal support networks. This study examined the relationship between changes in social support networks for older people living in a regional area following weekly videoconference groups delivered to the home. Between February and June 2014, we delivered 44 weekly group meetings via videoconference to participants in a regional town in Australia...
August 29, 2016: Health & Social Care in the Community
Rochelle F Hanson, Sonja Schoenwald, Benjamin E Saunders, Jason Chapman, Lawrence A Palinkas, Angela D Moreland, Alex Dopp
BACKGROUND: High rates of youth exposure to violence, either through direct victimization or witnessing, result in significant health/mental health consequences and high associated lifetime costs. Evidence-based treatments (EBTs), such as Trauma-Focused Cognitive Behavioral Therapy (TF-CBT), can prevent and/or reduce these negative effects, yet these treatments are not standard practice for therapists working with children identified by child welfare or mental health systems as needing services...
2016: International Journal of Mental Health Systems
Soheila Bazm, Seyyed Mehdi Kalantar, Masoud Mirzaei
BACKGROUND: To meet the future challenges in the field of reproductive medicine in Iran, better understanding of published studies is needed. Bibliometric methods and social network analysis have been used to measure the scope and illustrate scientific output of researchers in this field. OBJECTIVE: This study provides insight into the structure of the network of Iranian papers published in the field of reproductive medicine through 2010-2014. MATERIALS AND METHODS: In this cross-sectional study, all relevant scientific publications were retrieved from Scopus database and were analyzed according to document type, journal of publication, hot topics, authors and institutions...
June 2016: International Journal of Reproductive Biomedicine (Yazd, Iran)
Holly Hayes, Victoria Scott, Michelle Abraczinskas, Jonathan Scaccia, Soma Stout, Abraham Wandersman
This article describes how we used a formative multi-method evaluation approach to gather real-time information about the processes of a complex, multi-day training with 24 community coalitions in the United States. The evaluation team used seven distinct, evaluation strategies to obtain evaluation data from the first Community Health Improvement Leadership Academy (CHILA) within a three-prong framework (inquiry, observation, and reflection). These methods included: comprehensive survey, rapid feedback form, learning wall, observational form, team debrief, social network analysis and critical moments reflection...
October 2016: Evaluation and Program Planning
Yi Zuo, Yuya Kajikawa, Junichiro Mori
Supply chain management represents one of the most important scientific streams of operations research. The supply of energy, materials, products, and services involves millions of transactions conducted among national and local business enterprises. To deliver efficient and effective support for supply chain design and management, structural analyses and predictive models of customer-supplier relationships are expected to clarify current enterprise business conditions and to help enterprises identify innovative business partners for future success...
June 2016: Heliyon
Xin Li, Karin Verspoor, Kathleen Gray, Stephen Barnett
This paper summarises a longitudinal analysis of learning interactions occurring over three years among health professionals in an online social network. The study employs the techniques of Social Network Analysis (SNA) and statistical modeling to identify the changes in patterns of interaction over time and test associated structural network effects. SNA results indicate overall low participation in the network, although some participants became active over time and even led discussions. In particular, the analysis has shown that a change of lead contributor results in a change in learning interaction and network structure...
2016: Studies in Health Technology and Informatics
Dawn DeLay, Linlin Zhang, Laura D Hanish, Cindy F Miller, Richard A Fabes, Carol Lynn Martin, Karen P Kochel, Kimberly A Updegraff
Longitudinal social network analysis (SNA) was used to examine how a social-emotional learning (SEL) intervention may be associated with peer socialization on academic performance. Fifth graders (N = 631; 48 % girls; 9 to 12 years) were recruited from six elementary schools. Intervention classrooms (14) received a relationship building intervention (RBI) and control classrooms (8) received elementary school as usual. At pre- and post-test, students nominated their friends, and teachers completed assessments of students' writing and math performance...
November 2016: Prevention Science: the Official Journal of the Society for Prevention Research
Diana Rocío Rodríguez Triana, Frédéric Mertens, Concepción Valeriano Zúniga, Yolanda Mendoza, Eduardo Yoshio Nakano, Maria Carlota Monroy
In Honduras, where Chagas disease is a serious health and environmental concern, prevention measures face the challenge of achieving widespread and long-term sustainable adoption by communities. The article integrates social network analysis and a gender-sensitive approach to understand the role of men and women in the implementation of a community-level intervention, based on the adoption of housing improvements to reduce the presence of the insect vector. A total of 108 people in the community of El Salitre were interviewed...
July 12, 2016: EcoHealth
Daan Westra, Federica Angeli, Evelina Jatautaitė, Martin Carree, Dirk Ruwaard
INTRODUCTION: Medical specialists seem to increasingly work in- and be affiliated to- multiple organizations. We define this phenomenon as specialist sharing. This form of inter-organizational cooperation has received scant scholarly attention. We investigate the extent of- and motives behind- specialist sharing, in the price-competitive hospital market of the Netherlands. METHODS: A mixed-method was adopted. Social network analysis was used to quantitatively examine the extent of the phenomenon...
August 2016: Social Science & Medicine
D C Benton, S L Ferguson
AIM: To examine the longer term impact on the social network of participating nurses in the Global Nursing Leadership Institute (GNLI2013) through using differing frequencies of follow-up to assess impact on maintenance of network cohesion. BACKGROUND: Social network analysis is increasingly been used by nurse researchers, however, studies tend to use single point-in-time descriptive methods. METHOD: This study utilizes a repeated measures, block group, control-intervention, quasi-experimental design...
June 6, 2016: International Nursing Review
Cristian Pasquaretta, Marine Battesti, Elizabeth Klenschi, Christophe A H Bousquet, Cedric Sueur, Frederic Mery
Animals use a number of different mechanisms to acquire crucial information. During social encounters, animals can pass information from one to another but, ideally, they would only use information that benefits survival and reproduction. Therefore, individuals need to be able to determine the value of the information they receive. One cue can come from the behaviour of other individuals that are already using the information. Using a previous extended dataset, we studied how individual decision-making is influenced by the behaviour of conspecifics in Drosophila melanogaster...
March 16, 2016: Proceedings. Biological Sciences
Víctor Hugo Masías, Mauricio Valle, Carlo Morselli, Fernando Crespo, Augusto Vargas, Sigifredo Laengle
Modelling criminal trial verdict outcomes using social network measures is an emerging research area in quantitative criminology. Few studies have yet analyzed which of these measures are the most important for verdict modelling or which data classification techniques perform best for this application. To compare the performance of different techniques in classifying members of a criminal network, this article applies three different machine learning classifiers-Logistic Regression, Naïve Bayes and Random Forest-with a range of social network measures and the necessary databases to model the verdicts in two real-world cases: the U...
2016: PloS One
Samantha M Berdej, Derek R Armitage
This study empirically investigates the influence of bridging organizations on governance outcomes for marine conservation in Indonesia. Conservation challenges require ways of governing that are collaborative and adaptive across boundaries, and where conservation actions are better coordinated, information flows improved, and knowledge better integrated and mobilized. We combine quantitative social network analysis and qualitative data to analyze bridging organizations and their networks, and to understand their contributions and constraints in two case studies in Bali, Indonesia...
2016: PloS One
Kar-Hai Chu, Jennifer B Unger, Jon-Patrick Allem, Monica Pattarroyo, Daniel Soto, Tess Boley Cruz, Haodong Yang, Ling Jiang, Christopher C Yang
OBJECTIVE: This study explores the presence and actions of an electronic cigarette (e-cigarette) brand, Blu, on Twitter to observe how marketing messages are sent and diffused through the retweet (i.e., message forwarding) functionality. Retweet networks enable messages to reach additional Twitter users beyond the sender's local network. We follow messages from their origin through multiple retweets to identify which messages have more reach, and the different users who are exposed. METHODS: We collected three months of publicly available data from Twitter...
2015: PloS One
Nicolas Claidière, Julie Gullstrand, Aurélien Latouche, Joël Fagot
Social network analysis has become a prominent tool to study animal social life, and there is an increasing need to develop new systems to collect social information automatically, systematically, and reliably. Here we explore the use of a freely accessible Automated Learning Device for Monkeys (ALDM) to collect such social information on a group of 22 captive baboons (Papio papio). We compared the social network obtained from the co-presence of the baboons in ten ALDM testing booths to the social network obtained through standard behavioral observation techniques...
December 16, 2015: Behavior Research Methods
Hyo Hyun Yoo, Sein Shin
PURPOSE: This aim of this study is to examine trends in medical education research in the Korean Journal of Medical Education(KJME) and suggest improvements for medical education research. METHODS: The main variables were keywords from research papers that were published in KJME. Abstracts of papers (n=499) that were published from 1991 through 2015 were analyzed by social network analysis (NetMiner 4.0) a common research methodfor trends in academic subjects. RESULTS: The most central keywords were "medical education," "clinical competence," "medical student," and "curriculum...
December 2015: Korean Journal of Medical Education
Suzanne Vaughan, Tom Sanders, Nick Crossley, Paul O'Neill, Val Wass
OBJECTIVES: Within medical education, there is a discrepancy between the achievement level of White students and that of their ethnic minority peers. The processes underlying this disparity have not been adequately investigated or explained. This study utilises social network analysis to investigate the impact of relationships on medical student achievement by ethnicity, specifically by examining homophily (the tendency to interact with others in the same group) by ethnicity, age and role...
January 2015: Medical Education
Frederic W Hafferty, Brian Castellani, Philip K Hafferty, Wojciech Pawlina
PURPOSE: An exploratory study to better understand the "networked" life of the medical school as a learning environment. METHOD: In a recent academic year, the authors gathered data during two six-week blocks of a sequential histology and anatomy course at a U.S. medical college. An eight-item questionnaire captured different dimensions of student interactions. The student cohort/network was 48 first-year medical students. Using social network analysis (SNA), the authors focused on (1) the initial structure and the evolution of informal class networks over time, (2) how informal class networks compare to formal in-class small-group assignments in influencing student information gathering, and (3) how peer assignment of professionalism role model status is shaped more by informal than formal ties...
September 2013: Academic Medicine: Journal of the Association of American Medical Colleges
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