scholarly journals What is a traditional food? Conceptual evolution from four dimensions

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Zeltzin Rocillo-Aquino ◽  
Fernando Cervantes-Escoto ◽  
Juan Antonio Leos-Rodríguez ◽  
Daniela Cruz-Delgado ◽  
Angélica Espinoza-Ortega
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Conceptual Development ◽  
Raw Materials ◽  
Future Research ◽  
Traditional Food ◽  
Traditional Foods ◽  
Four Dimensions ◽  
Transmission Of Knowledge

AbstractThe purpose was to specify the concept of traditional food and the dimensions that make it up, identifying: definitions, authors and research projects; as well as to determine what is known and possible topics for future research. A literature review of traditional foods was conducted that examined the conceptual development of the term. Social network analysis (SNA) was also used to identify the most relevant definitions and working groups on the topic. Twenty-three definitions were identified in the period 1995–2019. It reveals the difficulty of establishing one that encompasses such a dynamic concept. Although there is variability in the specific characteristics of these foods, four dimensions have been established: time, place, know-how, and cultural meaning. It was found that their main characteristic is the transmission of knowledge and raw materials between generations. The conceptualization of the term has been developed mainly in Europe, based on the perspective of consumers. New trends in research include the contrast and complementarity of innovation in traditional foods and the difference between these products and those named with similar attributes such as typical, regional, ethnic, local, among others. Social network analysis (SNA) was used to study the definitions of a concept, something that had not been done with this approach. Suggestions are made for possible research on the subject, such as the conceptual delimitation of related terms and the compatibility between innovation and tradition.

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.

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.

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.

scholarly journals Exploring the Roles of Social Participation in Mobile Social Media Learning: A Social Network Analysis

2015 ◽  
Vol 16 (4) ◽  
Author(s):  
Helmi Norman ◽  
Norazah Nordin ◽  
Rosseni Din ◽  
Mohamad Ally ◽  
Huseyin Dogan
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Participation ◽  
Future Research ◽  
Analysis Tool ◽  
Daily Lives ◽  
Social Media Platforms ◽  
Media Learning

<p class="BODYTEXT">Social media is increasingly becoming an essential platform for social connectivity in our daily lives. The availability of mobile technology has further fueled its importance – making it a ubiquitous tool for social interaction. An emerging mode of learning is the mobile social media learning where social media is used in the mobile learning mode. However, limited studies have been conducted to investigate roles of social participation in this field. Thus, the study investigates roles of social participation in mobile social media learning using the “ladder of participation and mastering”. Participants were students taking an educational technology course in a local university. The study was conducted in a four-month period. Data was collected from discussions while learning among the students using one of the mobile social media platforms, Facebook groups. The data was analyzed using a social network analysis tool, NodeXL. Data was analyzed based on egocentric networks, betweeness centrality, and closeness centrality. The findings revealed that there are four roles of social participation in mobile social media, which are: (i) lurkers; (ii) gradually mastering members/passive members; (iii) recognized members; and (iv) coaches. The findings also indicated that over the course of four months, learners can inter-change roles of social participation – becoming more central or less central in learning discussions. As a result, a <em>roles of social participation</em> scale for mobile social media learning is proposed. Future research could be conducted in other fields to investigate whether mobile social media could be used to promote learning. </p>

scholarly journals The four dimensions of social network analysis: An overview of research methods, applications, and software tools

2020 ◽  
Vol 63 ◽  
pp. 88-120 ◽  
Author(s):  
David Camacho ◽  
Ángel Panizo-LLedot ◽  
Gema Bello-Orgaz ◽  
Antonio Gonzalez-Pardo ◽  
Erik Cambria
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Methods ◽  
Software Tools ◽  
Four Dimensions

scholarly journals Who bullies whom online: A social network analysis of cyberbullying in a school context

2014 ◽  
Vol 39 (4) ◽  
Author(s):  
Denis Wegge ◽  
Heidi Vandebosch ◽  
Steven Eggermont
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Social Context ◽  
Network Analysis ◽  
School Context ◽  
Future Research ◽  
Traditional Bullying ◽  
Online Bullying ◽  
The Social ◽  
Bullying Behavior

AbstractYoung adolescents’ online bullying behavior has raised a significant amount of academic attention. Nevertheless, little is known about the social context in which such negative actions occur. The present paper addresses this issue and examines how the patterns of traditional bullying and cyberbullying are related, and how electronic forms of bullying can be linked to the social context at school. To address these questions, social network analysis was applied to examine the networks of social interactions and (cyber)bullying among an entire grade of 1,458 thirteen- to fourteen-year-old pupils. The results show that (1) cyberbullying is an extension of traditional bullying as victims often face the same perpetrators offline and online, (2) there is evidence of mutual cyberbullying among youngsters, and (3) cyberbullying is more likely to occur in same-gender and same-class students. The implications for future research and prevention of cyberbullying are discussed.

Social Network Analysis in Knowledge Management Research

2011 ◽  
Vol 474-476 ◽  
pp. 1007-1011
Author(s):  
Bing Wu ◽  
Jun Ge ◽  
Wen Xia Xu
Keyword(s):  
Knowledge Management ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
The United States ◽  
Library Science ◽  
Knowledge Network ◽  
Future Research ◽  
Management Research ◽  
Main Research

This study is a productivity review on the literature gleaned from SSCI, SCIE databases concerning social network analysis in knowledge management research. The result indicates that the number of related literature is still growing especially in recent two years. The main research development country is the United States, then England and German, and from the analysis of the subject area, Information Science & Library Science is the most popular subject. Concerning source title, Knowledge Management Research & Practice is in the priority. Moreover the research focuses on this topic are mainly in close relationship with knowledge network. Typical references were analyzed in detail, including limitations and future research.

scholarly journals Information exchange in construction design phase: a case study using Social Network Analysis

2021 ◽  
Vol 5 (3) ◽  
pp. first
Author(s):  
Bao Ngoc Nguyen
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Exchange ◽  
Weak Links ◽  
Future Research ◽  
Existing Problems ◽  
Construction Design ◽  
Managerial Implications

Effective information exchange contributes greatly to the success of a project. However, so far when mentioning this topic, people have still been uncertain and confused about its advantages. A uniform method to visualise this theme should be established so that existing problems can be exposed and hence remedies will be suggested towards the transformation of nature and structure of information exchange. This paper applies Social Network Analysis techniques to study information exchange practices in design consulting projects through a case study. On that basis, the present study assesses the cohesiveness of the network, measuring the role and position of actors. Overall, the cohesion in the overall network structure was average, the collaboration was not extensive. There were still some actors on the edge of the network with weak links. The key player in the network was surprisingly the Coordinator. The information path was fairly long and there was a risk of being distorted when passing through transit nodes. The findings of this research have considerable managerial implications. The prospect of being able to do SNA serves as a continuous impulse for future research in the field of construction management and project management in Vietnam.

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