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.

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 Social Network Analysis Visualization

2015 ◽  
pp. 257-270
Author(s):  
Mohana Shanmugam ◽  
Yusmadi Yah Jusoh ◽  
Rozi Nor Haizan Nor ◽  
Marzanah A. Jabar
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Social Network ◽  
Future Research ◽  
Research Gaps ◽  
The Social ◽  
Network Studies ◽  
Academic Study

The social network surge has become a mainstream subject of academic study in a myriad of disciplines. This chapter posits the social network literature by highlighting the terminologies of social networks and details the types of tools and methodologies used in prior studies. The list is supplemented by identifying the research gaps for future research of interest to both academics and practitioners. Additionally, the case of Facebook is used to study the elements of a social network analysis. This chapter also highlights past validated models with regards to social networks which are deemed significant for online social network studies. Furthermore, this chapter seeks to enlighten our knowledge on social network analysis and tap into the social network capabilities.

Network Perspectives on the Past: Tackling the Challenges

2016 ◽  
Author(s):  
Tom Brughmans ◽  
Anna Collar
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Social Life ◽  
Academic Career ◽  
Special Method ◽  
The Past ◽  
Full Diversity ◽  
Strength Of Weak Ties

As his keynote address to the 1990 Sunbelt Social Networks conference, Mark Granovetter presented a paper entitled ‘The Myth of Social Network Analysis as a Special Method in the Social Sciences’ (Granovetter 1990). In it, he described how the popular social network theory he proposed, ‘The Strength of Weak Ties’ (Granovetter 1973), was like a spectre that haunted his academic career: although he subsequently pursued other research interests, he found that ‘as I got more deeply into any subject, network ideas kept coming in the back door’. He concluded that social network analysis (SNA) is not a ‘special’ method in social science, because ‘no part of social life can be properly analysed without seeing how it is fundamentally embedded in networks of social relations’ (Granovetter 1990: 15). However, he noted that to many, SNA is an alien concept: ‘we need to remember that there are many scholars outside the house of social network analysis who think in a relational way but don’t see the kinship with network methods and ideas’ (Granovetter 1990: 15). This observation echoes the current position of network studies in archaeology and history. Few would argue that relationships between social entities are not important for understanding past social processes. However, more explicit application of network theories and methods is not yet a mainstream part of our disciplines. Although it is the case that some researchers are not aware of the advantages such perspectives might offer, the current ‘niche’ status of network applications in archaeological and historical research relates to a more general misperception: that network concepts and methodologies per se are simply not appropriate for use in research in these disciplines. This volume aims to address both issues: the contributions in this volume demonstrate both the enormous potential of network methodologies, and also—and perhaps more importantly—acknowledge and address a range of perceived problems and reservations relating to the application of network perspectives to the study of the past, thereby encouraging and enabling their wider use in archaeology and history. The full diversity of network perspectives has only been introduced in our disciplines relatively recently.

Social network analysis: organizational implications in tourism management

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marco Valeri ◽  
Rodolfo Baggio
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Single Case ◽  
Effective Interaction ◽  
Organizational Structures ◽  
Review Literature ◽  
Future Research ◽  
Economic Sectors ◽  
Content Type

Purpose The purpose of this paper is to provide an overview of how quantitative analysis methods have been and can be used to improve the competitiveness of tourism destination. The focus of the study is social network analysis (SNA). Design/methodology/approach The research methodology is qualitative and consists of the review literature relevant to this thesis. This methodology is necessary to give an account of the methods and the techniques adopted for the data collection used in other economic sectors. Findings SNA is needed to analyze the creation and configuration of communities of practice within destination and to identify possible barriers to effective interaction. Essentially, it is a complex adaptive socio-economic system. It shares many (if not all) of the characteristics usually associated with such entities, namely, non-linear relationships among the components, self-organization and emergence of organizational structures, robustness to external shocks. Research limitations/implications The most important limit of this paper is that all the results presented here do not concern a single case study. Future research studies will provide a larger number of cases and examples to give the necessary validation to the findings presented here. Practical implications This paper provides a view into the network of relationships that may give tourism organization managers a strong leverage to improve the flow of information and to target opportunities where this flow may have the most impact on regulatory or business activities. Originality/value SNA can help to detect actual expertise and consequently project the potential losses deriving from an inefficient flow of knowledge. In addition, the authors will be able to define roles in the organizational networks and make an evaluation of informal organizational structures over the formal ones. Traditional organizational theories lack a concrete correspondence with mathematical studies and in this respect the authors sought to identify a correspondence.

scholarly journals Application of Social Network Analysis for Analyzing the Relationships between Root and Direct Causes of Defects

2015 ◽  
Vol 9 (12) ◽  
pp. 12 ◽  
Author(s):  
Chantelle Van Den Brink ◽  
Sangwon Han
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Extensive Literature ◽  
Root Cause ◽  
Extensive Literature Review ◽  
Construction Defects

<p class="zhengwen">This paper addresses the application of social network analysis (SNA) in understanding and representing the relationships between the root and direct causes of defects. The root and direct causes of construction defects were identified through extensive literature review, and the thoroughness of the identified causes was confirmed by examining 91 non-conformance reports. The SNA software UCINET was used to visually map the links between the direct and root causes for identifying the root causes that accounted for the majority of direct causes and defects. A measure of centrality and adjacency indicated that the root cause Constructor Error/Omission was directly linked to seven of the ten identified direct causes. It was also determined that eliminating this root cause together with Transportation Error would reduce the number of defects by 90%. Since the root causes responsible for the majority of direct causes as well as the largest number of defects could be identified using SNA, it is concluded that SNA is a valuable tool for recognizing where resources should be employed for the elimination of defects.</p>

scholarly journals Research on China’s Green Finance Policies Based on Text Mining

2020 ◽  
Vol 185 ◽  
pp. 02024
Author(s):  
Yuqing Liao ◽  
Jingliang Chen
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
High Frequency ◽  
Policy Documents ◽  
Analysis Techniques ◽  
The Past ◽  
Word Cloud ◽  
Green Finance ◽  
Occurrence Matrix

Based on the green finance policies in China from 2017 to 2019, this paper extracts feature and high-frequency words from policy documents, uses word cloud diagram, co-occurrence matrix and social network analysis techniques to quantitatively analyse the information contained in the green finance policies over the past three years and highlights the hot issues in question, thus providing a multi-layered and wideranging pathway for facilitating the orderly development of green finance industries across China.

Foregrounding the role of relationships in reform

2015 ◽  
Vol 29 (7) ◽  
pp. 819-837 ◽  
Author(s):  
Yi-Hwa Liou ◽  
Alan J. Daly ◽  
Chris Brown ◽  
Miguel del Fresno
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Educational Leadership ◽  
Network Analysis ◽  
Network Theory ◽  
Social Network Theory ◽  
Future Research ◽  
Social Aspect ◽  
Content Type

Purpose – The role of relationships in the process of leadership and change is central, yet the social aspect of the work of reform is often background in favor of more technical approaches to improvement. Therefore, the purpose of this paper is to argue that social network theory and analysis provides a useful theory and set of tools to unpack the complex social work of leadership. Design/methodology/approach – In this paper the authors begin by reviewing social network theory in education to date. The authors identify strengths and gap areas and use findings and data from existing social network studies of educational leadership to highlight major concepts. Findings – Along with empirical examples, the paper proposes four important strands of social network analysis for future research in educational leadership: multiplex networks; multi-mode networks; longitudinal networks; and real time networks. Originality/value – This paper builds on recent scholarship using social network analysis in educational leadership and suggests that social network theory and methods provides unique and important analytic purchase in the study of educational leadership.

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