scholarly journals Social network analysis studies in the public and private sectors: A cross-professional comparison

2006 ◽  
Vol 42 (1) ◽  
pp. n/a-n/a
Author(s):  
Barbara Schultz-Jones ◽  
Janet R. Macpherson
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public And Private ◽  
The Public

Mobility and structural change through traumatic organizational events

2014 ◽  
Vol 10 (3) ◽  
pp. 382-408 ◽  
Author(s):  
R. Drew Sellers ◽  
Timothy J. Fogerty ◽  
Larry M. Parker
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Professional Service ◽  
Public Accounting ◽  
Content Type ◽  
The Public ◽  
Arthur Andersen ◽  
Practical Implications

Purpose – This paper aims to, using evidence from a former office of the public accounting firm Arthur Andersen, to study the importance of the relational content and structure of individuals’ social connections as they transitioned to subsequent employment. The paper also examines the maintenance of their social networks through time. Implications for careers in the accounting field are offered. Practicing accountants’ connections with other individuals have often been recognized as an important resource that influences career success. However, these social networks have escaped systematic academic study in accounting. Design/methodology/approach – Social network analysis, built on survey data. Findings – The results show that who one was connected to in a previous employment was more important than one’s overall network position when deciding whether to stay or exit public accounting. However those who exited public accounting did not demonstrate a handicap in maintaining network structures after the disbanding of the firm. Research limitations/implications – This study is limited to firm members, and to a single office of a firm. Social network analysis was used as a research tool for the sociology of public accounting. Practical implications – Implications are for careers in public accounting, and the management of human resources in public accounting is offered. Social implications – The paper has implications for the successfulness of professional service provision in a general sense. Originality/value – Almost a decade of social connection is studied with a method that has not appeared in the discipline but is well regarded in management studies.

Application of Social Network Analysis to Major Petrochemical Accident: Interorganizational Collaboration Perspective

2020 ◽  
pp. 1-8
Author(s):  
Marzieh Abbassinia ◽  
Omid Kalatpour ◽  
Majid Motamedzade ◽  
Alireza Soltanian ◽  
Iraj Mohammadfam
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Crisis Management ◽  
Interorganizational Relationships ◽  
Fire Department ◽  
Provincial Government ◽  
Public And Private ◽  
Governmental Organizations ◽  
Non Governmental Organizations

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.

scholarly journals Computational Propaganda in Hashtag Activism

2021 ◽  
Vol 13 (2) ◽  
pp. 251
Author(s):  
Andhika Kurniawan Pontoh
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communication Networks ◽  
Network Structure ◽  
Media Coverage ◽  
Public Attention ◽  
Political Actors ◽  
The Public ◽  
Social Network Structure

The hashtag (#) has an important role in gathering Internet users' support for opinion and value. Computational propaganda has an important role in hashtag activism. This study wants to examine the role of computational propaganda actors such as anonymous political accounts, fake accounts and bot in social media that is able to mobilize the public and also increase the impression of Twitter audiences. The trend of Twitter hashtag activism #BebaskanIBHRS and #NegaraDamaiTanpaFPI began with the arrest of the chairman of the Islamic Defenders Front (FPI) Habib Rizieq Shihab (HRS); the two trending hashtags massively influenced public opinion on Twitter on December 13-14 2020. This study uses a sample of 1000 tweets or conversations on each hashtags and uses Social Network Analysis (SNA) with the Netlytic tool which is able to provide quantitative values of communication networks, through the social network structure of #BebaskaniBHRS and #NegaraDamaiTanpaFPI. This study reveals how the network structure and what factors are carried out by anonymous political actors in carrying out computational propaganda. The results of this study reveal the hashtags activism #BebaskaniBHRS is much more capable of mobilizing the public and is able to generate greater impressions than #NegaraDamaiTanpaFPI. This is because #BebaskaniBHRS has a computational propaganda message in the form of a loaded language with a clear frame and the choice of words directly invites the Twitter public to get involved through a retweet another finding in this research shows computational propaganda movement in hashtag activism was carried out by large groups consisting of anonymous accounts and bot accounts on other side online media coverage about the trending of these hashtag's activism was also able to increasing public attention. Tagar (#) memiliki peran penting dalam mengumpulkan dukungan pengguna Internet terhadap suatu opini dan nilai. Komputasi propaganda memiliki peran penting dalam aktivisme tagar. Penelitian ini ingin mengkaji peran aktor komputasi propaganda seperti akun anonim politik, akun palsu dan bot di media sosial yang mampu memobilisasi publik dan juga meningkatkan kesan khalayak Twitter. Tren aktivisme tagar Twitter #BebaskanIBHRS dan #NegaraDamaiTanpaFPI dimulai dengan penangkapan ketua Front Pembela Islam (FPI) Habib Rizieq Shihab (HRS); kedua tagar yang sedang trending tersebut secara masif memengaruhi opini publik di Twitter pada 13-14 Desember 2020. Penelitian ini menggunakan sampel 1000 tweet atau percakapan pada masing-masing tagar serta menggunakan Social Network Analysis (SNA) dengan alat Netlytic yang mampu memberikan nilai kuantitatif jaringan komunikasi. Melalui struktur jejaring sosial #BebaskaniBHRS dan #NegaraDamaiTanpaFPI, kajian ini mengungkap seperti apa struktur jaringan komunikasi dan hal apa saja yang dilakukan oleh aktor politik anonim dalam melakukan komputasi propaganda. Hasil penelitian ini mengungkapkan bahwa aktivisme tagar #BebaskaniBHRS jauh lebih mampu memobilisasi publik dan mampu menghasilkan impresi yang lebih besar dibandingkan #NegaraDamaiTanpaFPI. Hal ini dikarenakan #BebaskaniBHRS memiliki pesan komputasi propaganda dalam bentuk bahasa yang sarat dengan bingkai yang jelas dan pilihan kata secara langsung mengajak publik Twitter untuk terlibat melalui retweet.Temuan lain dalam penelitian ini menunjukkan gerakan komputasi propaganda dalam aktivisme  tagar dilakukan oleh kelompok besar yang terdiri dari akun anonim dan akun bot di sisi lain liputan media daring tentang tren aktivisme tagar ini juga mampu meningkatkan atensi publik.

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
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Professional Training ◽  
Research Work ◽  
Model Approximation ◽  
Public And Private ◽  
Relational Approach ◽  
Training Courses ◽  
Development And Management

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.

scholarly journals A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic

2020 ◽  
Vol 17 (21) ◽  
pp. 8235
Author(s):  
Wasim Ahmed ◽  
Josep Vidal-Alaball ◽  
Francesc Lopez Segui ◽  
Pedro A. Moreno-Sánchez
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communication Channel ◽  
The Public ◽  
Twitter Data ◽  
Wide Range ◽  
Media Research ◽  
Systematic Random Sample

Background: High compliance in wearing a mask is a crucial factor for stopping the transmission of COVID-19. Since the beginning of the pandemic, social media has been a key communication channel for citizens. This study focused on analyzing content from Twitter related to masks during the COVID-19 pandemic. Methods: Twitter data were collected using the keyword “mask” from 27 June 2020 to 4 July 2020. The total number of tweets gathered were n = 452,430. A systematic random sample of 1% (n = 4525) of tweets was analyzed using social network analysis. NodeXL (Social Media Research Foundation, California, CA, USA) was used to identify users ranked influential by betweenness centrality and was used to identify key hashtags and content. Results: The overall shape of the network resembled a community network because there was a range of users conversing amongst each other in different clusters. It was found that a range of accounts were influential and/or mentioned within the network. These ranged from ordinary citizens, politicians, and popular culture figures. The most common theme and popular hashtags to emerge from the data encouraged the public to wear masks. Conclusion: Towards the end of June 2020, Twitter was utilized by the public to encourage others to wear masks and discussions around masks included a wide range of users.

scholarly journals Work Attitude among Malaysian Academicians in the Public Universities: A Social Network Analysis

2014 ◽  
Vol 8 (5) ◽  
pp. 9 ◽  
Author(s):  
Norhaidah Mohd Asrah ◽  
Maman Abdurachman Djauhari ◽  
Ebi Shahrin Suleiman
Keyword(s):  
Social Network ◽  
Organizational Commitment ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Universities ◽  
Spanning Trees ◽  
Workplace Spirituality ◽  
The Public ◽  
Work Attitude ◽  
Measure Of Association

This study dealt with a social network analysis approach to comprehend the work attitude amongst academicians in the Malaysian public universities. This work attitude presented the psychological attachment between the employee and the organization. The organizational commitment and workplace spirituality amongst the academicians were highlighted here. A total of 40 factors were found to represent four groups of workplace spirituality and organizational commitment. The similarity amongst the factors was measured with two different kinds of associations. The best measure of association, which was the Tschuprow’s measure of association, showed better results than the other measure in measuring the correlation amongst the factors. The connections and relationships amongst the factors were studied by using minimum spanning trees (MST). The interpretation of the MST was conducted by using the overall centrality measure.

scholarly journals Inquiring Structure and Forms of Collaboration in Tourism through Social Network Analysis

2020 ◽  
Vol 12 (19) ◽  
pp. 8161
Author(s):  
Alexandra Cehan ◽  
Mihail Eva ◽  
Corneliu Iațu ◽  
Carlos Costa
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Eastern European ◽  
Tourist Destination ◽  
Relational Dynamics ◽  
Public And Private ◽  
Tourist Destinations ◽  
Management Perspective ◽  
Tourism Destinations

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.

Exploring government networks through interorganizational relationships: research strategies based on social network analysis (SNA)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Diogo Ribeiro da Fonseca
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Public Sector ◽  
Network Analysis ◽  
Theoretical Development ◽  
Research Strategies ◽  
Exchange Relationships ◽  
Content Type ◽  
The Public ◽  
Methodological Guidelines

PurposeThe purpose of this paper is to provide methodological guidelines and examples of how social network analysis (SNA) can be used in public management network research. SNA describes network structures formed by the patterns of relationships between different actors. Exchange relationships between government, market and society, which conceptualize public sector policies and goals, can be analyzed as a means to highlight underlying governance structures, coordination and management mechanisms, organizational capabilities and strategies of government activities.Design/methodology/approachDrawing from key aspects and concepts of network management, structuring, and modes of governance, research strategies are presented for the analysis of public networks through an illustrative study of relational patterns between providers and receivers of training in the public sector.FindingsSNA highlights prevalent modes of organizing – bureaucratic, market or collaborative (networked) – key actors, roles and strategies that influence network structure, and collective and individual results. Network data can provide information on the relationship between context, organizations' roles and characteristics, and the effectiveness of public policies.Practical implicationsInformation regarding patterns of exchange relationships such as services, resources, influence, knowledge and personnel, are relevant for policymaking processes and may subsidize new approaches and policy instruments that seek to optimize, develop and prescribe structural arrangements for better coordination and effective provision of public services.Originality/valueThe paper advances current literature by presenting a general methodological approach to large interorganizational networks, useful for the consistent theoretical development of governance network theory in the public administration field.

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