scholarly journals Analisis Kesiapan Masyarakat Pada Penerapan Smart City di Sosial Media Menggunakan SNA

2021 ◽  
Vol 5 (1) ◽  
pp. 69-81
Author(s):  
M. Khairul Anam ◽  
Tri Putri Lestari ◽  
Latifah ◽  
Muhammad Bambang Firdaus ◽  
Sofiansyah Fadli
Keyword(s):  
Social Media ◽  
Social Network ◽  
Network Analysis ◽  
Social Interactions ◽  
Smart City ◽  
The People ◽  
Twitter Users ◽  
The Government ◽  
The Relationship

Smart People, which means smart city residents or people, not only refers to one's education but also the quality of social interactions that are formed. This Social Network Analysis (SNA) emphasizes the relationship between actors / users rather than the attributes of these actors. This analysis aims to see whether the people of Pekanbaru are ready to face changes to a Smart City. Pekanbaru is a civil city that will build a Smart City, with a concept that adopts 6 pillars, one of which is Smart People. There are 720,000 Twitter users in Pekanbaru City, while the people who actively interact are only 227 users or around 0.031%. Meanwhile, a city that can be said to be ready should be around 60-80% of active users who provide opinions or comments to the government of Pekanbaru City. From this research, it can be concluded that the people of Pekanbaru City are not ready to face Smart City Madani as seen from the interaction of the community on social media Twitter.

scholarly journals Contentious politics and social media : a study of the networked publics in the Ayotzinapa twitter protests #PaseDeLista1al43

2018 ◽  
Author(s):  
◽  
Rocio Araceli Galarza Molina
Keyword(s):  
Social Media ◽  
Social Network ◽  
Contentious Politics ◽  
Symbiotic Relationship ◽  
Mixed Methods Approach ◽  
Twitter Data ◽  
The People ◽  
Twitter Users ◽  
The Relationship ◽  
Networked Publics

This study analyzed the networked public that was emergent on Twitter based on analysis of the use of the hashtag #PaseDelista1al43 to protest the disappearance of 43 students in Mexico in 2014. As social media have expanded, practitioners of contentious politics have utilized these media for manifesting their claims and organizing. These #PaseDeLista1al43 Twitter protests are explored as a form of performing contentious politics. To address this phenomenon, this project took a mixed methods approach, combining social network analysis and thematic and content analysis of Twitter data and interviews. A total of 3,616 tweets from five different moments in the first two years of the #PaseDeLista1al43 Twitter protests were collected to examine their content, who their authors are, as well as the relationship between the people in the networked public. Additionally, interviews (N = 14) with participants of the #PaseDeLista1al43 Twitter protests were conducted to delve into protesters' perspectives on the demonstration. Results help elucidate how Twitter can be used to practice contentious politics and thus constitutes another resource in the repertoire for performing contentious politics. Additionally, this study aligns with other research that has identified Twitter as a place for the formation and expression of counterpublics that seek to challenge hegemonic narratives. Moreover, the analyses in this study strengthen our understanding of processes of networked gatekeeping and networked framing that occur within a networked public on Twitter. Unlike traditional processes of gatekeeping and framing, networked processes are supported by a symbiotic relationship between elite and non-elite Twitter users. Moreover, frames prevalent in the protest not only concerned facts about the case but also denoted efforts of the protesters to position themselves in the story of the Ayotzinapa case.

scholarly journals Using Social Network Analysis to Understand the Effects of a Social Media-based Weight Loss Intervention Targeting Low-SES Adults (Preprint)

2020 ◽  
Author(s):  
Ran Xu ◽  
David Cavallo
Keyword(s):  
Social Support ◽  
Social Media ◽  
Weight Loss ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Self Efficacy ◽  
Network Characteristics ◽  
Using Data ◽  
The Relationship

BACKGROUND Obesity is a known risk factor for cardiovascular disease (CVD) risk factors including hypertension and type II diabetes. Although numerous weight-loss interventions have demonstrated efficacy, there is considerably less evidence about the theoretical mechanisms through which they work. Delivering lifestyle behavior change interventions via social media provides unique opportunities for understanding mechanisms of intervention effects. Server data collected directly from online platforms can provide detailed, real-time behavioral information over the course of intervention programs that can be used to understand how interventions work. OBJECTIVE The objective of this study was to demonstrate how social network analysis can facilitate our understanding of the mechanisms underlying a social-media based weight loss intervention. METHODS This study performed secondary analysis using data from a pilot study that delivered a dietary and physical activity intervention to a group of low-SES participants via Facebook. We mapped out participants’ interaction networks over the 12-week intervention period, and linked participants’ network characteristics (e.g. in-degree, out-degree and network constraint) to participants’ changes in theoretical mediators (i.e. dietary knowledge, perceived social support, self-efficacy) and weight loss using regression analysis. This study also performed mediation analyses to explore how the effects of social network measures on weight loss could be mediated by the aforementioned theoretical mediators. RESULTS 47 participants from two waves completed the study and were included in the analysis. We found that participants creating posts, comments and reactions predicted weight-loss (β=-.94, P=.042); receiving comments positively predicted changes in self-efficacy (β=7.81, P=.009); the degree to which one’s network neighbors are tightly connected with each other weakly predicted changes in perceived social support (β=7.70, P=.08). In addition, change in self-efficacy mediated the relationship between receiving comments and weight-loss (Indirect effect=-.89, P=.017). CONCLUSIONS Our analyses using data from this pilot study have linked participants’ network characteristics with changes in several important study outcomes of interest, such as self-efficacy, social support and weight. Our results point to the potential of using social network analysis to understand the social processes and mechanisms through which online behavioral interventions affects participants’ psychological and behavioral outcomes. Future studies are warranted to validate our results and further explore the relationship between network dynamics and study outcomes in similar and larger trials.

Tweeting #Ferguson: Mediatized fields and the new activist journalist

2017 ◽  
Vol 20 (7) ◽  
pp. 2252-2271 ◽  
Author(s):  
Stephen R Barnard
Keyword(s):  
Field Theory ◽  
Social Media ◽  
Content Analysis ◽  
Social Network ◽  
Network Analysis ◽  
Mixed Methods Approach ◽  
Twitter Users ◽  
Journalistic Field

As a hybrid, journo-activist space, tweeting #Ferguson quickly emerged as a way for activists and journalists to network and spread information. Using a mixed-methods approach combining digital ethnographic content analysis with social network analysis and link analysis, this study examines journalistic and activist uses of Twitter to identify changes in field relations and practices. Employing the lenses of field theory and mediatization, this study finds parity and divergence in the themes, frames, format, and discourse of journalist and activist Twitter practices. While the traditions of objective journalism and affective activism persist, notable exceptions occurred, especially following acts of police suppression. The networked communities of professional and activist Twitter users were overlapping and interactive, suggesting hybridity at the margins of the journalistic field. Given the hybridizing of journalistic and journo-activist practices, this case study examines the role of social media in efforts to report on and bolster social change.

scholarly journals Social network analysis of climate change discussion on Twitter during COP21

2021 ◽  
Author(s):  
Brittany E. Harris
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Social Network ◽  
Network Analysis ◽  
Social Media Platform ◽  
The Public ◽  
Climate Change Information ◽  
The Social ◽  
Media Platform ◽  
Twitter Users

The public is increasingly relying on Twitter for climate change information; however, to date, this social media platform is poorly understood in terms of how climate change information is shared. This study evaluates discussions on Twitter during the 2015 United Nations Conference on Climate Change (COP21) to elucidate the social media platform’s role in communicating climate change information. For a five-day period, links embedded in a sample of tweets containing “#climatechange” were characterized, Twitter users were classified by the types of links they typically shared, and their degree centralities (the number of connections for each user) were measured. There was little skeptical content across all user categories; however, news links were more likely than non-news to contain content that is skeptical of climate change. Users who typically shared skeptical news links and users who typically shared non-skeptical non-news links exhibited a relatively high number of connections with other users.

scholarly journals Protests against #delhigangrape on Twitter: Analyzing India’s Arab Spring

2013 ◽  
Vol 5 (1) ◽  
pp. 28-58 ◽  
Author(s):  
Saifuddin Ahmed ◽  
Kokil Jaidka
Keyword(s):  
Social Media ◽  
Social Network ◽  
Network Analysis ◽  
Capital City ◽  
The Social ◽  
Content Analyses ◽  
Role Players ◽  
Twitter Users ◽  
Use Of Social Media

This study offers a comprehensive approach towards analyzing and explaining the role of Twitter in shaping and facilitating social movements especially during protests. It presents automatic and manual analyses of the tweet themes, usage characteristics and major Twitter users during a public outcry against a gangrape incident in Delhi, the capital city of India. Our results identified Twitter as an important channel for the diffusion of ideas and news among a vast set of adopters in defiance of geographical boundaries. Results of the content analyses highlight the prominent use of social media resources in disseminating information on Twitter, and the remarkable role of Twitter users as citizen journalists during the days of the protest. Results of the social network analysis suggest that major role players on Twitter were the offline protest leaders.

scholarly journals Polish and Swedish journalist-politician Twitter networks: Who are the gatekeepers?

2018 ◽  
Vol 11 (2) ◽  
pp. 129-150
Author(s):  
Elena Johansson ◽  
Jacek Nożewski
Keyword(s):  
Social Media ◽  
Social Network ◽  
Network Analysis ◽  
Comparative Study ◽  
Technological Development ◽  
The Political ◽  
Extra Space ◽  
Political Sources ◽  
The Relationship

The relationship between journalists and political sources takes different forms and extends from adversarial to advocating. Th e question which side ‘leads the tango’ has always been central to this approach. Since technological development has led to hybridization of themedia systems, the nature of communication has been reshaped in many ways. The emergence of social media has challenged the journalistic profession, especially journalists’ role as gatekeepers, but provided extra space for interaction with sources. Increasing professionalization of politics has reinforced the role of press secretaries/advisers. This is a comparative study of interaction among Polish and Swedish journalists, ministers, and press secretaries in Twitter provided by network analysis and three social network concepts as density, modularity, and centralization. In this analysis, a more influential position is conceptualized in terms of ‘communicative resources’ or ‘accumulated capacity’. Swedish journalists have more opportunities to act as gatekeepers or ‘key users’ in the Twitter network; in Poland, it is rather the political side.

scholarly journals Social network analysis of climate change discussion on Twitter during COP21

2021 ◽  
Author(s):  
Brittany E. Harris
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Social Network ◽  
Network Analysis ◽  
Social Media Platform ◽  
The Public ◽  
Climate Change Information ◽  
The Social ◽  
Media Platform ◽  
Twitter Users

The public is increasingly relying on Twitter for climate change information; however, to date, this social media platform is poorly understood in terms of how climate change information is shared. This study evaluates discussions on Twitter during the 2015 United Nations Conference on Climate Change (COP21) to elucidate the social media platform’s role in communicating climate change information. For a five-day period, links embedded in a sample of tweets containing “#climatechange” were characterized, Twitter users were classified by the types of links they typically shared, and their degree centralities (the number of connections for each user) were measured. There was little skeptical content across all user categories; however, news links were more likely than non-news to contain content that is skeptical of climate change. Users who typically shared skeptical news links and users who typically shared non-skeptical non-news links exhibited a relatively high number of connections with other users.

scholarly journals The Social Engagement to Agricultural Issues using Social Network Analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 1-7
Author(s):  
Tanty Yanuar Widiyanti ◽  
Teguh Bharata Adji ◽  
Indriana Hidayah
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Engagement ◽  
Betweenness Centrality ◽  
Closeness Centrality ◽  
Degree Centrality ◽  
Eigenvector Centrality ◽  
The Government

Twitter is one of the micro-blogging social media which emphasizes the speed of communication. In the 4.0 era, the government also promotes the distribution of information through social media to reach the community from various lines.  In previous research, Social Network Analysis was used to see the relationship between actors in a work environment, or as a basis for identifying the application of technology adoption in decision making, whereas no one has used SNA to see trends in people's response to agricultural information. This study aims to see the extent to which information about agriculture reaches the community, as well as to see the community's response to take part in agricultural development.  This article also shows the actors who took part in disseminating information. Data was taken on November 13 to 20, 2020 from the Drone Emprit Academic, and was taken limited to 3000 nodes. Then, the measurements of the SNA are represented on the values of Degree Centrality, Betweenness Centrality, Closeness Centrality, and Eigenvector Centrality. @AdrianiLaksmi has the highest value in Eigenvector Centrality and Degree Centrality, he has the greatest role in disseminating information and has many followers among other accounts that spread the same information. While the @RamliRizal account ranks the highest in Betweenness Centrality, who has the most frequently referred information, and the highest Closeness Centrality is owned by the @baigmac account because of the fastest to re-tweet the first information.

ANALISIS PERINGKAT TOP BRAND OJEK ONLINE MENGGUNAKAN JEJARING SOSIAL PERCAKAPAN TWITTER

2019 ◽  
Vol 24 (2) ◽  
pp. 88-104
Author(s):  
Ilham Aminudin ◽  
Dyah Anggraini
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Path Length ◽  
Average Path Length ◽  
Average Degree ◽  
Clustering Coefficient ◽  
R Programming

Banyak bisnis mulai muncul dengan melibatkan pengembangan teknologi internet. Salah satunya adalah bisnis di aplikasi berbasis penyedia layanan di bidang moda transportasi berbasis online yang ternyata dapat memberikan solusi dan menjawab berbagai kekhawatiran publik tentang layanan transportasi umum. Kemacetan lalu lintas di kota-kota besar dan ketegangan publik dengan keamanan transportasi umum diselesaikan dengan adanya aplikasi transportasi online seperti Grab dan Gojek yang memberikan kemudahan dan kenyamanan bagi penggunanya Penelitian ini dilakukan untuk menganalisa keaktifan percakapan brand jasa transportasi online di jejaring sosial Twitter berdasarkan properti jaringan. Penelitian dilakukan dengan dengan mengambil data dari percakapan pengguna di social media Twitter dengan cara crawling menggunakan Bahasa pemrograman R programming dan software R Studio dan pembuatan model jaringan dengan software Gephy. Setelah itu data dianalisis menggunakan metode social network analysis yang terdiri berdasarkan properti jaringan yaitu size, density, modularity, diameter, average degree, average path length, dan clustering coefficient dan nantinya hasil analisis akan dibandingkan dari setiap properti jaringan kedua brand jasa transportasi Online dan ditentukan strategi dalam meningkatkan dan mempertahankan keaktifan serta tingkat kehadiran brand jasa transportasi online, Grab dan Gojek.

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