scholarly journals Social Network Analysis (SNA) applied to current issues. Guidelines for its implementation in research and management projects

AWARI ◽  
2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Laura Teves ◽  
Jorge Julián Cueto

Social Network Analysis (SNA) has become the most demanded relational approach in the field of basic science and applied science in the last 20 years. Researchers and professionals from traditional social, natural, and exact disciplines agree on the interest in what some identify as the paradigm across the field of traditional sciences problems. While SNA deepens and grows in its developments, analysis, and tools, the demand for courses of graduate and postgraduate academic training increases; as well as the instances of professional updating in both public and private development and management sectors. Based on the supposition that both sectors are related with research work trajectories rooted in institutional and current issues, in this work we aim to present the basic guidelines of our strategies for putting together courses about SNA. Considering three levels based on epistemological, methodological, and transference criteria for the resolution of problems, we propose five lines to be taken into consideration in order to know, develop and apply relational research. The procedures for the design of tools that will allow the collection and construction of databases or the identification of appropriate information for a study of SNA. The analytical path must be explained both in its complexity of combined methods and in the strategies for the identification of patterns as well as the construction of models. Finally, the problems and study frameworks, the research procedures, and the transference instances can be controlled and assessed by testing results and model approximation. Academic and professional training courses provide tools for the appreciation of SNA conceptual fields together with the approximation and delimitation of feasible empiric problems to be studied by SNA.

Author(s):  
Marzieh Abbassinia ◽  
Omid Kalatpour ◽  
Majid Motamedzade ◽  
Alireza Soltanian ◽  
Iraj Mohammadfam

ABSTRACT Objective: Crisis management in major accidents requires the collaboration among different organizations. One of the most important problems of crisis management is the lack of coordination between executive organizations. The aim of this study was to examine the structural characters and problems of interorganizational network during crisis in the petrochemical industry and provide solutions to achieve the highest performance in crisis management. Methods: The organizations involved in crisis management were identified through interviews and questionnaires. Gephi (0.9.1) software was used to examine interorganizational relationships. Results: In this study, the crisis management team consisted of 25 public and private organizations and non-governmental organizations. The highest betweenness centrality was observed in Crisis Management of Provincial Government (CMPG) (142.16) and Fire Department of Petrochemical Complex (FDC) (89.3). The highest closeness centrality was observed in FDC (0.77), CMPG (0.7), Shazand Governorate (0.7), and Crisis Management of University of Medical Sciences (0.7). Conclusions: Coordination between organizations plays an important role in crisis and emergency management, and social network analysis helps identify strengths and weaknesses of organizations involved in crisis management, overcome those weaknesses, and consequently achieve the best performance in crisis management.


Author(s):  
Jenny Godley ◽  
Shelly Russell-Mayhew

Background: While it is generally acknowledged that an interprofessional approach is necessary to treat and prevent obesity, there have been few empirical studies examining the working relationships of professionals in the obesity field.Methods: In this article social network analysis is used to examine the working relationships of 111 attendees, representing eleven different health professions, at the first National Obesity Summit in Canada. We assessed the extent of engagement in interprofessional relations across four activities: discussion, gathering information, providing care, and conducting research. We also examined attitudes toward interprofessional practice.Findings: On average, respondents reported that approximately 75% of the people they work with are from other professions. Attitudes toward interprofessional practice were generally positive, and did not vary significantly across professions. Interestingly, attitudes were not related to actual interprofessional relations in our sample. In terms of work type, we found that respondents who were engaged in both clinical and research work had the largest networks and had the highest percentage of interprofessional contacts in their discussion and research networks.Conclusions: Overall, the results suggest that within our sample of professionals working in the field of obesity, interprofessional practice is held in high regard as a concept. The results also suggest that members of professions that combine both research and clinical work are most likely to engage in interprofessional relationships. This article illustrates the utility of social network analysis to assess the extent of interprofessional relationships among those working in a particular healthcare field.


2018 ◽  
Vol 7 (4.38) ◽  
pp. 950 ◽  
Author(s):  
Siti Nurulain Mohd Rum ◽  
Razali Yaakob ◽  
Lilly Suriani Affendey

Social media has now become a key part of life in modern society; it is a place where people share their ideas, view, emotions, and sentiments. The explosion in the popularity of social media has led to an immense increase in data over the past few years. Users engage with this platform to share their experiences, feelings, and opinions on a broad range of topics, such as politics, personalities, news, products or events. Social media has also become a phenomenal platform that provides a powerful way for businesses to enhance their prospects and reach customers. Extracting and interpreting information from user-generated content is a trending topic in the scientific community as well as in the business world, and has attracted the interest of many commercial organizations. With the wise use of social media, the marketing process for promoting products and brands can be accelerated to reach the target audience. The beauty and health industry is one of the industries that make use of this platform as their digital marketing solution to integrate communications. Recently, many leading companies and brands have used digital influencers as their strategy for marketing campaigns in management and development. Therefore, the analysis of information extracted from social media is of great importance offering valuable insights and where the importance of each actor or individual in social media can be identified.  This can be achieved through the use of Social Network Analysis (SNA).  This research work aims at probing the effectiveness of SNA in social media in detecting the influencers in the area of beauty and health.   


2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Chenchen Ma

If you want to understand the social development and management of social network analysis, you must first know what social network analysis is. The network not only refers to the things that we usually use to surf the Internet, make calls, chat, etc., it is actually a relationship structure, a medium that links all aspects of related or unrelated things, and social network refers to the social The medium that connects various relationships is mainly to connect the individual with the social system. Everyone has his own way of behavior, has his own role in society, plays his own role, and effectively connects these individuals, just like our interpersonal communication in society, forming a social network. The Internet is actually the interaction of people in the social environment. It is similar to the Internet that we usually come into contact with. It has both restraints and development.


2020 ◽  
Vol 12 (19) ◽  
pp. 8161
Author(s):  
Alexandra Cehan ◽  
Mihail Eva ◽  
Corneliu Iațu ◽  
Carlos Costa

Collaboration in tourism is widely perceived as a solution for achieving success and for ensuring sustainability in tourist destinations. However, collaboration is a complex and dynamic process, and although there is a growing interest in understanding its mechanisms, much remains unexplored on the matter. The aim of this paper is to operationalise a network approach in analysing characteristics of collaboration in tourism and then to reveal structural weaknesses and strengths from a destination management perspective. The background for analysis is a well-known tourist destination in Romania (Vatra Dornei) that can be considered illustrative for a large spectrum of Eastern European destinations. Methodologically, Social Network Analysis (SNA) techniques were employed, centred on matters related to density and centrality of the tourism network. The results reveal a series of deficiencies inside the network, which have to be addressed by policymakers: (i) a general low level of collaboration; (ii) poor communication between public and private sectors; (iii) a reduced number of central stakeholders but high diversity regarding their fields of activity. The study contributes to the literature by advancing knowledge on particularities of collaboration among tourism stakeholders, while also adding evidence to the utility of SNA in understanding relational dynamics specific to tourism destinations.


Sign in / Sign up

Export Citation Format

Share Document