Cross-sectional social network analysis

2020 ◽  
pp. 85-95
Author(s):  
Mathias Mejeh
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Cross Sectional

scholarly journals A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
José Alberto Benítez-Andrades ◽  
Tania Fernández-Villa ◽  
Carmen Benavides ◽  
Andrea Gayubo-Serrenes ◽  
Vicente Martín ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
University Students ◽  
Methodological Approach ◽  
Centrality Measures ◽  
Structural Behaviour ◽  
Cross Sectional ◽  
Depth Analysis ◽  
The University

AbstractThe COVID-19 pandemic has meant that young university students have had to adapt their learning and have a reduced relational context. Adversity contexts build models of human behaviour based on relationships. However, there is a lack of studies that analyse the behaviour of university students based on their social structure in the context of a pandemic. This information could be useful in making decisions on how to plan collective responses to adversities. The Social Network Analysis (SNA) method has been chosen to address this structural perspective. The aim of our research is to describe the structural behaviour of students in university residences during the COVID-19 pandemic with a more in-depth analysis of student leaders. A descriptive cross-sectional study was carried out at one Spanish Public University, León, from 23th October 2020 to 20th November 2020. The participation was of 93 students, from four halls of residence. The data were collected from a database created specifically at the university to "track" contacts in the COVID-19 pandemic, SiVeUle. We applied the SNA for the analysis of the data. The leadership on the university residence was measured using centrality measures. The top leaders were analyzed using the Egonetwork and an assessment of the key players. Students with higher social reputations experience higher levels of pandemic contagion in relation to COVID-19 infection. The results were statistically significant between the centrality in the network and the results of the COVID-19 infection. The most leading students showed a high degree of Betweenness, and three students had the key player structure in the network. Networking behaviour of university students in halls of residence could be related to contagion in the COVID-19 pandemic. This could be described on the basis of aspects of similarities between students, and even leaders connecting the cohabitation sub-networks. In this context, Social Network Analysis could be considered as a methodological approach for future network studies in health emergency contexts.

scholarly journals Nursing Students’ Subjective Happiness: A Social Network Analysis

2021 ◽  
Vol 18 (21) ◽  
pp. 11612
Author(s):  
Eun-Joo Kim ◽  
Ji-Young Lim ◽  
Geun-Myun Kim ◽  
Seong-Kwang Kim
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Nursing Students ◽  
Network Analysis ◽  
Group Dynamics ◽  
Future Research ◽  
Subjective Happiness ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
High Level

Improving nursing students’ subjective happiness is germane for efficiency in the nursing profession. This study examined the subjective happiness of nursing students by applying social network analysis (SNA) and developing a strategy to improve the subjective happiness of nursing. The study adopted a cross sectional survey to measure subjective happiness and social network of 222 nursing students. The results revealed that the centralization index, which is a measure of intragroup interactions from the perspective of an entire network, was higher in the senior year compared with the junior year. Additionally, the indegree, outdegree, and centrality of the social network of students with a high level of subjective happiness were all found to be high. This result suggests that subjective happiness is not just an individual’s psychological perception, but can also be expressed more deeply depending on the subject’s social relationships. Based on the study’s results, to strengthen self-efficacy and resilience, it is necessary to utilize strategies that activate group dynamics, such as team activities, to improve subjective happiness. The findings can serve as basic data for future research focused on improving nursing students’ subjective happiness by consolidating team-learning social networks through a standardized program approach within a curriculum or extracurricular programs.

scholarly journals Advancing clinical leadership to improve the implementation of evidence-based practice in surgery: a longitudinal mixed-method study protocol

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Amy Grove ◽  
Aileen Clarke ◽  
Graeme Currie ◽  
Andy Metcalfe ◽  
Catherine Pope ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Mixed Method ◽  
Qualitative Data ◽  
Mixed Method Study ◽  
Evidence Based ◽  
Theory Approach ◽  
Cross Sectional ◽  
Clinical Leadership

Abstract Background Clinical leadership is fundamental in facilitating service improvements in healthcare. Few studies have attempted to understand or model the different approaches to leadership which are used when promoting the uptake and implementation of evidence-based interventions. This research aims to uncover and explain how distributed clinical leadership can be developed and improved to enhance the use of evidence in practice. In doing so, this study examines implementation leadership in orthopaedic surgery to explain leadership as a collective endeavour which cannot be separated from the organisational context. Methods A mixed-method study consisting of longitudinal and cross-sectional interviews and an embedded social network analysis will be performed in six NHS hospitals. A social network analysis will be undertaken in each hospital to uncover the organisational networks, the focal leadership actors and information flows in each organisation. This will be followed by a series of repeated semi-structured interviews, conducted over 4 years, with orthopaedic surgeons and their professional networks. These longitudinal interviews will be supplemented by cross-sectional interviews with the national established surgical leaders. All qualitative data will be analysed using a constructivist grounded theory approach and integrated with the quantitative data. The participant narratives will enrich the social network to uncover the leadership configurations which exist, and how different configurations of leadership are functioning in practice to influence implementation processes and outcomes. Discussion The study findings will facilitate understanding about how and why different configurations of leadership develop and under what organisational conditions and circumstances they are able to flourish. The study will guide the development of leadership interventions that are grounded in the data and aimed at advancing leadership for service improvement in orthopaedics. The strength of the study lies in the combination of multi-component, multi-site, multi-agent methods to examine leadership processes in surgery. The findings may be limited by the practical challenges of longitudinal qualitative data collection, such as ensuring participant retention, which need to be balanced against the theoretical and empirical insights generated through this comprehensive exploration of leadership across and within a range of healthcare organisations.

scholarly journals Supply Chain Partner Communication in a Managed Programme in the UK Water Industry: A Case Study with Social Network Analysis

2019 ◽  
Vol 16 (21) ◽  
pp. 4211 ◽  
Author(s):  
Qing Li ◽  
Shengqiao Wang ◽  
Nicky Shaw ◽  
Victor Shi
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Water Industry ◽  
Partner Communication ◽  
Cross Sectional ◽  
Water Utility ◽  
Supply Chain Networks ◽  
The Uk

The water industry in every country aims to effectively and efficiently provide water with satisfactory quality in a sustainable and environmentally friendly manner. To this end, it is critical to achieve effective communication among the partners in water supply chain networks. In this paper, we focus on one of the UK’s largest water utility companies and its eight main contractors and analyze the factors influencing partner and network communication in a managed programme of their asset supply chain. We employ social network analysis to conduct the cross-sectional and longitudinal analysis of partner communication. Factors found to influence the communication network are grouping of projects within the programme, individual’s organisational affiliation, status, tenure, elapsed time through the programme lifecycle, and co-location. Our contributions to practice include demonstrating water programme management factors that influence communication and trust and how social network analysis can better inform them about intra- and interorganisational relationships. Moreover, the methodology introduced in this study may be applied to water management in other parts of the world.

scholarly journals Local Dynamics of Collaboration for Maternal, Newborn and Child Health: A Social Network Analysis of Healthcare Providers and Their Managers in Gert Sibande District, South Africa

2021 ◽  
Author(s):  
Fidele Kanyimbu Mukinda ◽  
Sara Van Belle ◽  
Helen Schneider
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Child Health ◽  
Healthcare Providers ◽  
Cross Sectional Survey ◽  
Collaborative Relationships ◽  
Cross Sectional ◽  
Newborn And Child Health ◽  
And Child Health

Background: Accountability for maternal, newborn and child health (MNCH) is a collaborative endeavour and documenting collaboration dynamics may be key to understanding variations in the performance of MNCH services. This study explored the dynamics of collaboration among frontline health professionals participating in two MNCH coordination structures in a rural South African district. It examined the role and position of actors, the nature of their relationships, and the overall structure of the collaborative network in two sub-districts. Methods: Cross-sectional survey using a social network analysis (SNA) methodology of 42 district and sub district actors involved in MNCH coordination structures. Different domains of collaboration (eg, communication, professional support, innovation) were surveyed at key interfaces (district-sub-district, across service delivery levels, and within teams). Results: The overall network structure reflected a predominantly hierarchical mode of clustering of organisational relationships around hospitals and their referring primary healthcare (PHC) facilities. Clusters were linked through (and dependent on) a combination of district MNCH programme and line managers, identified as central connectors or boundary spanners. Overall network density remained low suggesting potential for strengthening collaborative relationships. Within cluster collaborative patterns (inter-professional and across levels) varied, highlighting the significance of small units in district functioning. Conclusion: SNA provides a mechanism to uncover the nature of relationships and key actors in collaborative dynamics which could point to system strengths and weaknesses. It offers insights on the level of fragmentation within and across small units, and the need to strengthen cohesion and improve collaborative relationships, and ultimately, the delivery of health services.

Internet-based digitalmarketing strategies fordata-rich environments

2018 ◽  
Vol 31 (2) ◽  
pp. 98-113 ◽  
Author(s):  
Faiqa Kiran ◽  
Ahsan Zubair ◽  
Irum Shahzadi ◽  
Aamir Abbas
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Longitudinal Design ◽  
Negative Relationship ◽  
Small Sample ◽  
Strategic Decision ◽  
Cross Sectional ◽  
Content Type ◽  
Rated Performance

Purpose The purpose of this paper is to first bring to light the essential digital strategies to study organizations. Second, how businesses can improve their strategic capabilities by using the information gathered from internet sources or networks. Third, this study investigates how employees in an organization tend to engage in positive and/or negative gossip and how gossips affect coworker-rated informal influence in organization and supervisor-rated performance. Social network analysis is used to find the underlying relationships between gossips, coworker-rated influence and supervisor-rated performance. Design/methodology/approach This research paper is divided into two parts. The first study based on profound synthesis of literature. Major digital sources to study organizations are identified. The strategies requirement for each channel is identified. Suggestions are given to managers to improve strategic decision-making based on big data. The second study is a cross-sectional study where questionnaires (survey) are used to elicit data. Social network analysis is used to analyze the data using ucinet 6 software. Findings The findings of the study pinpoint the skills required to analyze large data, available in organizations. The second study finds out that close friends are more engaged in gossips than coworkers who have only working relationships. The friends having high structural embeddedness are more likely to be involved in negative gossips. Coworker perceives those employees who are engaged in negative gossips as having high informal influence. However, there is negative relationship between negative gossips and supervisor-rated influence. Research limitations/implications The research study is cross-sectional in design; however, longitudinal design can be used to gain more insights about negative gossips and their effects. Second, a very small sample is used in this study. Practical implications This study can be used to understand informal communication network in the organization. Managers can use this channel to pass information quickly, as informal channels are faster than formal communication channels. This research can be used to understand the underling relationships between the coworkers in organizations Originality/value This paper provides guidelines to organizational life and information on how the informal networks within organization can be studied.

scholarly journals 4034 Can Connections IN Health become a research-based model to improve health outcomes through community health coalitions?

2020 ◽  
Vol 4 (s1) ◽  
pp. 70-70
Author(s):  
Lily Darbishire ◽  
Sarah Wiehe ◽  
Dennis Savaiano
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Outcomes ◽  
Health Data ◽  
Perceived Effectiveness ◽  
Cross Sectional ◽  
Study Population ◽  
Partnership Networks ◽  
Coalition Effectiveness

OBJECTIVES/GOALS: Connections IN Health’s goal is to coordinate, integrate, and enrich health coalition work through extended connections among community and academic stakeholders within and across coalitions and geographies within Indiana. We aim to evaluate stakeholder connections to assess coalition effectiveness and the quality of partnership networks. METHODS/STUDY POPULATION: We will collect data longitudinally to evaluate Connections IN Health using a unique triangulation of effectiveness surveys, social network analysis, and health data. Cross-sectional functioning and social network analysis surveys were distributed to coalition members before the transition to Connections IN Health engagement (baseline) and will be distributed again each year thereafter to identify changes in coalition perceived effectiveness and changes in the structure/nature of partnership networks after implementation of the partnership. We plan to utilize publicly available health data to measure proximal changes in health outcomes at the neighborhood level and use Pearson’s correlations to check for associations between perceived coalition effectiveness and health outcomes. RESULTS/ANTICIPATED RESULTS: We found low baseline scores in perceived effectiveness, especially in the areas of leadership, operational understanding, and satisfaction, from the coalition members. From our social network analysis, we found relatively low cohesion scores (measured as network density) among each of the coalition networks, and even lower scores for collaboration among coalition members. We expect to see positive increases in perceived coalition effectiveness, as well as an increase in the density and level of collaboration among coalition networks as Connections IN Health develops. Finally, we expect to see positive changes in proximal health outcomes associated with our measures of coalition effectiveness. DISCUSSION/SIGNIFICANCE OF IMPACT: The results of our project will be distributed back to the coalition leaders and members in order to sustain and improve the coalitions. The visualization of the coalition member’s network can be used to demonstrate opportunities for enhanced partnerships and collaboration.

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