Using Social Network Analysis in Understanding The Public Discourse on Gender Violence

2017 ◽  
Author(s):  
Meliza M. De La Paz ◽  
Ma. Regina E. Estuar
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Discourse ◽  
Gender Violence ◽  
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.

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 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 Social Network Analysis of COVID-19 Public Discourse on Twitter: Implications for Risk Communication

2020 ◽  
pp. 1-9
Author(s):  
Paola Pascual-Ferrá ◽  
Neil Alperstein ◽  
Daniel J. Barnett
Keyword(s):  
Public Health ◽  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Risk Communication ◽  
Public Discourse ◽  
Health Messages ◽  
Public Health Messages ◽  
Public Health Officials

ABSTRACT Objectives: The purpose of this study was to demonstrate the use of social network analysis to understand public discourse on Twitter around the novel coronavirus disease 2019 (COVID-19) pandemic. We examined different network properties that might affect the successful dissemination by and adoption of public health messages from public health officials and health agencies. Methods: We focused on conversations on Twitter during 3 key communication events from late January to early June of 2020. We used Netlytic, a Web-based software that collects publicly available data from social media sites such as Twitter. Results: We found that the network of conversations around COVID-19 is highly decentralized, fragmented, and loosely connected; these characteristics can hinder the successful dissemination of public health messages in a network. Competing conversations and misinformation can hamper risk communication efforts in a way that imperil public health. Conclusions: Looking at basic metrics might create a misleading picture of the effectiveness of risk communication efforts on social media if not analyzed within the context of the larger network. Social network analysis of conversations on social media should be an integral part of how public health officials and agencies plan, monitor, and evaluate risk communication efforts.

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.

scholarly journals Public Space Layout Optimization in Affordable Housing Based on Social Network Analysis

Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 955
Author(s):  
Jie Zhao ◽  
Zhenghong Peng ◽  
Lingbo Liu ◽  
Yang Yu ◽  
Zhourui Shang
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Space ◽  
Affordable Housing ◽  
Public Spaces ◽  
Residential Area ◽  
Clustering Coefficient ◽  
The Public ◽  
Space Layout

The efficient use of public space in affordable housing is of great significance to the physical and mental health of low-income and aging residents. Previous studies have evaluated the layout and quality of public space in residential areas based on residents’ subjective satisfaction, however, there still lack studies exploring residents’ behavior patterns and the use of public spaces based on objective measurement standards. Therefore, this paper selected the public space in the large affordable housing areas in the suburbs as the research object and used social network analysis (SNA) to objectively evaluate the network density, clustering coefficient and small-world value of the public space in affordable housing from the perspective of the physical spatial network of the built public space. Based on the network structure characteristics of existing public spaces, this paper further explores the relationship between the frequency of public space use in and the characteristics of nodes’ social networks and their own attributes, and the influence of public space layout structure on the behavioral patterns of affordable housing residents. This paper puts forward proposals for the renovation and optimization of public space according to the behavioral preferences of affordable housing residents, so as to complete the network of public space, promote the interaction and communication of residents in the residential area, enhance the residents’ experience of using public space and improve the living standard of residents in the residential area.

scholarly journals Penerapan Social Network Analysis Dalam Menganalisis Kerjasama Tokopedia Dengan Boyband Korea BTS

2021 ◽  
Vol 13 (1) ◽  
pp. 32-42
Author(s):  
Ignatius Adrian Mastan ◽  
Christianto Christianto
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Statistical Tool ◽  
Korean Music ◽  
The Public ◽  
South Korean ◽  
The Social ◽  
Star Group ◽  
Fundamental Type

Tokopedia is an Indonesian technology company with a mission to achieve digitaleconomic equity. Since its founding in 2009, Tokopedia has transformed into aninfluential unicorn not only in Indonesia but also in Southeast Asia. On October 7,2019, Tokopedia announced a South Korean music group, BTS, to become the new brand ambassador for Tokopedia. BTS is a global mega star group from South Korea which is shaded by Big Hit Entertainment. Consisting of seven members including RM, Jin, SUGA, j-hope, Jimin, V, and Jung Kook, BTS was founded in 2013 and has had worldwide success. The extraordinary growth and achievements achieved by BTS have managed to break records in recent years so that BTS is designated as the persona of the Tokopedia brand. Through this collaboration, the public and BTS fans are expected to be closer to their inspirational figure. The various types of marketing currently carried out by Tokopedia in collaboration and collaboration with BTS have had a lot of impact on Tokopedia's sales. One of the marketing efforts that has been done by Tokopedia is using Twitter. Twitter is one of the social media used to attract consumers to buy products sold on Tokopedia. Using Social Network Analysis (SNA) provides a statistical tool for examining relational data not only on the characteristic attributes of individual actors, and focuses on explaining the patterns of relationships between actors, and analyzing the structure of these patterns. Social etwork representation is expressed in graph form because graph is the most fundamental type of social network representation. Social Network Analysis (SNA) argues that the relationship between nodes is important. The focus of Social Network Analysis (SNA) is on knowing the actors/nodes involved and how relationships occur. This study uses Social Network Analysis (SNA) to produce a structure of relationship data patterns between the collaboration between Tokopedia and Korean Boyband BTS which can help Tokopedia to review the collaboration that has been done. Tokopedia can take action in collaborating with BTS, to continuing or stopping or replacing with newbrand ambassadors.

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