Data collection for mixed method approaches in social network analysis

2019 ◽  
pp. 25-37 ◽  
Author(s):  
Manuel Längler ◽  
Jasperina Brouwer ◽  
Hans Gruber
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Mixed Method

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 A SYSTEMATIC LITERATURE REVIEW OF SOCIAL NETWORK ANALYSIS IN TOURISM FLOWS

2021 ◽  
Vol 6 (26) ◽  
pp. 143-154
Author(s):  
Pei Yee Tan ◽  
Hairul Nizam Ismail ◽  
Syed Muhammad Rafy Syed Jaafar
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Future Research ◽  
The Past ◽  
Behavioural Patterns ◽  
Meta Analyses ◽  
Tourism Flows

As the growing research interest and discussion on social network analysis associated with tourism flows, this paper reviewed 31 studies focused on tourism flows with social network analysis in the past ten years. To ensure the accuracy of the literature review, a systematic quantitative literature review with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), together with descriptive and content analyses, was used to synthesise these past studies. With that, this review aims to (1) identify the overall research trends of social network analysis in tourism flows studies, (2) types and methods of data collection used, as well as (3) future research opportunities. The review findings present an interesting result with the past studies mostly focusing on examining tourist movement, tourism destination management, and tourist behavioural patterns. Furthermore, this review also provides significant findings on emerging data collection methods, like big data, in tourism research. To sum up, this paper offers an insight into social network analysis in tourism flows, primarily on the state of knowledge, methodological understanding, and future research gaps.

Mixed Method Social Network Analysis

2016 ◽  
Vol 20 (2) ◽  
pp. 268-298 ◽  
Author(s):  
Trenton A. Williams ◽  
Dean A. Shepherd
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Organizational Behavior ◽  
Mixed Method ◽  
New Ventures ◽  
Organizational History ◽  
General Application ◽  
Social Actors ◽  
Novel Approach

This article outlines a mixed method approach to social network analysis combining techniques of organizational history development, inductive data structuring, and content analysis to offer a novel approach for network data construction and analysis. This approach provides researchers with a number of benefits over traditional sociometric or other interpersonal methodologies including the ability to investigate networks of greater scope, broader access to diverse social actors, reduced informant bias, and increased capability for longitudinal designs. After detailing this approach, we apply the method on a sample of 143 new ventures and suggest opportunities for general application in entrepreneurship, strategic management, and organizational behavior research.

scholarly journals Social Network Analysis in Farm Animals: Sensor-Based Approaches

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 434
Author(s):  
Suresh Neethirajan ◽  
Bas Kemp
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Animal Welfare ◽  
Farm Management ◽  
Animal Behaviour ◽  
Farm Animal ◽  
Farm Animals ◽  
Management Processes

Natural social systems within animal groups are an essential aspect of agricultural optimization and livestock management strategy. Assessing elements of animal behaviour under domesticated conditions in comparison to natural behaviours found in wild settings has the potential to address issues of animal welfare effectively, such as focusing on reproduction and production success. This review discusses and evaluates to what extent social network analysis (SNA) can be incorporated with sensor-based data collection methods, and what impact the results may have concerning welfare assessment and future farm management processes. The effectiveness and critical features of automated sensor-based technologies deployed in farms include tools for measuring animal social group interactions and the monitoring and recording of farm animal behaviour using SNA. Comparative analyses between the quality of sensor-collected data and traditional observational methods provide an enhanced understanding of the behavioural dynamics of farm animals. The effectiveness of sensor-based approaches in data collection for farm animal behaviour measurement offers unique opportunities for social network research. Sensor-enabled data in livestock SNA addresses the biological aspects of animal behaviour via remote real-time data collection, and the results both directly and indirectly influence welfare assessments, and farm management processes. Finally, we conclude with potential implications of SNA on modern animal farming for improvement of animal welfare.

scholarly journals Implementation of an interprofessional collaboration in practice program: a feasibility study using social network analysis

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Linda C. Smit ◽  
Jeroen Dikken ◽  
Nienke M. Moolenaar ◽  
Marieke J. Schuurmans ◽  
Niek J. de Wit ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Older People ◽  
Primary Healthcare ◽  
Healthcare Professionals ◽  
Interprofessional Collaboration ◽  
Network Development ◽  
Knowledge And Skills

Abstract Background Due to multimorbidity and geriatric problems, older people often require both psychosocial and medical care. Collaboration between medical and social professionals is a prerequisite to deliver high-quality care for community-living older people. Effective, safe, and person-centered care relies on skilled interprofessional collaboration and practice. Little is known about interprofessional education to increase interprofessional collaboration in practice (IPCP) in the context of community care for older people. This study examines the feasibility of the implementation of an IPCP program in three community districts and determines its potential to increase interprofessional collaboration between primary healthcare professionals caring for older people. Method A feasibility study was conducted to determine the acceptability and feasibility of data collection and analysis regarding interprofessional collaboration in network development. A questionnaire was used to measure the learning experience and the acquisition of knowledge and skills regarding the program. Network development was assessed by distributing a social network survey among professionals attending the program as well as professionals not attending the program at baseline and 5.5 months after. Network development was determined by calculating the number, reciprocity, value, and diversity of contacts between professionals using social network analysis. Results The IPCP program was found to be instructive and the knowledge and skills gained were applicable in practice. Social network analysis was feasible to conduct and revealed a spill-over effect regarding network development. Program participants, as well as non-program participants, had larger, more reciprocal, and more diverse interprofessional networks than they did before the program. Conclusions This study showed the feasibility of implementing an IPCP program in terms of acceptability, feasibility of data collection, and social network analysis to measure network development, and indicated potential to increase interprofessional collaboration between primary healthcare professionals. Both program participants and non-program participants developed a larger, more collaborative, and diverse interprofessional network.

scholarly journals Exploring Social Relationships in “a Mixed Way”: Mixed Structural Analysis

2020 ◽  
Author(s):  
Dominik Emanuel Froehlich
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Structural Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Mixed Method ◽  
Research Designs ◽  
Additional Input

While the concept of mixed method social network analysis (MMSNA) is gaining in popularity, there is a notable lack of specific mixed research designs that guide the implementation of MMSNA. In this chapter, I draw from qualitative social network analysis, specifically, qualitative structural analysis, and expand it towards a mixed research design. This change, which requires relatively little additional input, fulfills several important purposes at the same time, and hence may be conducive in increasing the overall quality of a study.

scholarly journals Cases, Mechanisms and the Real: The Theory and Methodology of Mixed-Method Social Network Analysis

2016 ◽  
Vol 21 (2) ◽  
pp. 217-285 ◽  
Author(s):  
Nick Crossley ◽  
Gemma Edwards
Keyword(s):  
Social Network ◽  
Mixed Methods ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Mixed Method ◽  
Ontological Argument ◽  
Sociological Research ◽  
Methodological Framework ◽  
The Real ◽  
Theoretical Assumptions

In this paper we make a methodological case for mixed method social network analysis (MMSNA). We begin by both challenging the idea, prevalent in some quarters, that mixing methods means combining incompatible epistemological or theoretical assumptions and by positing an ontological argument in favour of mixed methods. We then suggest a methodological framework for MMSNA and argue for the importance of ‘mechanisms’ in relational-sociological research. Finally, we discuss two examples of MMSNA from our own research, using them to illustrate arguments from the paper.

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