scholarly journals Ekstraksi Knowledge tentang Penyebaran #Ratnamiliksiapa pada Jejaring Sosial (Twitter) menggunakan Social Network Analysis (SNA)

2019 ◽  
Vol 6 (6) ◽  
pp. 677
Author(s):  
Lyonly Tomasoa ◽  
Ade Iriani ◽  
Irwan Sembiring
Keyword(s):  
Social Media ◽  
Communication Network ◽  
Social Network ◽  
Betweenness Centrality ◽  
Information Exchange ◽  
The Political ◽  
Degree Centrality ◽  
Boundary Spanner ◽  
Political Issues ◽  
Twitter Users

<p class="Abstrak">Memasuki tahun politik 2018-2019, Indonesia mengalami darurat <em>hoax</em>  dimana isu-isu politik menyebar dengan sangat cepat terutama pada jejaring sosial yang merupakan wadah untuk menghubungkan setiap individu di seluruh dunia. <em>Twitter</em> sebagai salah satu jejaring sosial yang sering dipakai masyarakat Indonesia, menyebabkan isu-isu politik pun ikut terbawa dalam bentuk tagar (#). Tagar #RatnaMilikSiapa yang merupakan isu politik dari kasus <em>hoax</em> kebohongan penganiayaan RS di kota Bandung dijadikan sebagai tunggangan para pengguna <em>twitter</em> untuk membangun opini di masyarakat sehinga menjadikan hal tersebut sebagai <em>hoax</em> menjelang pemilihan Presiden 2019. Opini-opini dari setiap pengguna <em>twitter</em> tersebut telah menciptakan jaringan-jaringan komunikasi yang membahas tentang kasus politik penganiyayaan RS dengan tagar #RatnaMilikSiapa . Penelitian ini bertujuan untuk mengidentifikasi aktivitas penyebaran tagar #RatnaMilikSiapa dengan menggunakan metode <em>Social Network Analyis</em> (SNA) pada jejaring sosial <em>twitter</em>. Dalam penelitian ini, dilakukan identifikasi terhadap aktor utama dengan melakukan perhitungan sentralitas tingkatan atau <em>degree Centrality </em>(BC) sehingga dapat ditemukan aktor yang berpengaruh dalam terbentuknya kelompok-kelompok jaringan <em>tweet</em> #RatnaMilikSiapa pada jejaring sosial <em>twitter</em>. Hasil dari penelitan ini adalah ditemukannya 3 aktor  kunci (<em>creator &amp; influencers</em>) yang berasal dari 5 aktor utama penyebaran <em>tweet </em> #RatnaMilikSiapa dengan mengidentifikasi adanya pertukaran berita yang dilakukan oleh para aktor utama dan didukung dengan perhitungan nilai sentralitas keperantaraan atau <em>betweenness Centrality </em>(BC). Kemudian juga ditemukannya 32 aktor <em>boundary spanner</em> yang merupakan dampak dari aktivitas pertukaran berita atau <em>information exchange</em>  yang dilakukan oleh aktor kunci pada jaringan komunikasi dalam jejaring sosial <em>twitter</em>.</p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Judul2"><em>Entering the political year of 2018-2019, Indonesia is facing a hoax crisis where political issues spread rapidly, especially on social media as a place for connecting people all over the world. Twitter as one of the popular social media, which is frequently used by the society of Indonesian, leads the political issues spread widely through the hashtag (#). </em><em> </em><em>#RatnaMilikSiapa which was a hoax case about RS persecution in Bandung turned as a way for Twitter users creating a judgment in the society so that that issue became a hoax approaching the Presidential Election of 2019. The opinions of Twitter users had created a communication network discussed RS persecution as a political issue with #RatnaMilikSiapa. </em><em> </em><em>This research intends to identify the #RatnaMilikSiapa deployment activity with the using of Social Network Analyis (SNA) method on Twitter. This research conducts the identification toward the main actors with degree Centrality (BC) calculation until the actor who influenced the establishment of #RatnaMilikSiapa tweet network groups on Twitter can be found. The results of this research are the researcher had found the three key actors (creator and influencers) which originated from 5 main actors who spread #RatnaMilikSiapa tweet. The researcher identifies the information exchange which had been done by the main actors and the results supports by the value of betweenness Centrality (BC) calculation. Later, the researcher had found 32 actors of boundary spanner which was the impact of information exchange done by the key actors on the communication network of Twitter.</em><em></em></p><p class="Abstrak"><em><strong><br /></strong></em></p>

scholarly journals Network analysis of Youtube videos based on keyword search with graph centrality approach

2021 ◽  
Vol 22 (2) ◽  
pp. 780
Author(s):  
Edi Surya Negara ◽  
Ria Andryani ◽  
Riyan Amanda
Keyword(s):  
Social Media ◽  
Graph Theory ◽  
Social Network ◽  
Network Analysis ◽  
Betweenness Centrality ◽  
Keyword Search ◽  
Degree Centrality ◽  
Graph Centrality ◽  
A Value ◽  
Youtube Videos

<p>Youtube is a social media that has billions of users, with this can be used as a promotional media, trends, business, and so forth. This study aims to analyze the correlation between Youtube videos by utilizing hashtags on video using graph theory. Data collection in this study uses scraping techniques taken from the Youtube website in the form of links, titles, keywords, and hashtags. The method used in this research is Social Network Analysis, the measurements used in this study are degree centrality and betweenness centrality. The results of this study indicate that the most popular hashtags with the keyword search for "viruses" are #KidflixPT, #Portugues, and #Mondo with degree centrality values equal to 0.071875. and the correlation between the most closely related videos about #Coronavirus with a value of betweenness centrality of 0.082626.</p>

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.

Communication Network Analysis of Project Teams in Korean Building Constructions

2013 ◽  
Vol 357-360 ◽  
pp. 2338-2341 ◽  
Author(s):  
Jae Yeob Kim ◽  
Sang Tae No ◽  
Yong Kyu Park
Keyword(s):  
Communication Network ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Construction Project ◽  
Project Teams ◽  
Degree Centrality ◽  
Analysis Program ◽  
Team Members ◽  
Communication Frequency

This study used social network analysis (SNA) in order to analyze communication relationship between project team members in typical cases of Korean building constructions. Data was collected by conducting a survey from key members of construction project teams. We analyzed and digitized degree centrality by using Netminer, a SNA analysis program. According to the result of analysis in communication frequency, intermediate managers such as construction deputy managers were shown the highest and architectural designers were shown the lowest. With respect to communication credibility, construction managers were shown the highest and architectural designers were shown to be low. We discovered that intermediate managers and construction managers of the construction teams play important role in the communication of project teams.

Using Twitter in Political Campaigns

2019 ◽  
pp. 710-726 ◽  
Author(s):  
Rodrigo Sandoval-Almazan
Keyword(s):  
Social Media ◽  
Political Campaigns ◽  
The Political ◽  
Presidential Candidate ◽  
Political Campaign ◽  
Political Candidates ◽  
Twitter Users

Social media has invaded elections in Mexico. However, the power of citizens through the use of this platform is still unknown. Many citizens criticize political candidates using Twitter, others build networks and some others try to collaborate with candidates. This research is focused in understanding this kind of behavior, analyzing the case of the presidential candidate Enrique Peña Nieto (PRI) in Mexico who won the presidency with a large participation but without the support of Twitter users. After two online protests against this presidential candidate - #IamnotProletariat and #Iam132 – political image could have been undermined and voters could have thought differently. But this was not the case and despite of this, the candidate won. The challenge to understand this online protest and its link to the political campaign is addressed in this paper.

‘To activists: Please post and share your story’: Renewing understandings on civic participation and the role of Facebook in the Indignados movement

2017 ◽  
Vol 32 (6) ◽  
pp. 583-597 ◽  
Author(s):  
Venetia Papa
Keyword(s):  
Social Media ◽  
Civic Participation ◽  
Political Community ◽  
Political Activity ◽  
The Political ◽  
Structured Interviews ◽  
Political Issues ◽  
International Financial Crisis ◽  
Online Social Media

The global upsurge in protest, which has accompanied the current international financial crisis, has highlighted the extensive use of online social media in activism, leaving aside the extent to which citizenship is enacted, empowered and potentially transformed by social media use within these movements. Drawing on citizenship and communication theories, this study employs a cross-country analysis of the relationship between citizenship, civic practices and social media within the Indignados movement in Greece and France. By the use of semi-structured interviews, we attempt to discern the degree of involvement of actors with the political community in question and explore the complex layers of their motivations and goals around participation. Content analysis employed in the movement’s Facebook groups allows us to critically evaluate the potential of social media in (re)defining the meaning and practice of civic participation. Findings indicate that the failure of traditional forms of civic participation to attain and resolve everyday political issues becomes its potential to transfer the political activity in other sites of struggle. The role of Facebook is double: it can reinforce civic talk and debate through activists’ digital story telling (around shared feelings and personal stories) significant for meaningful activist participation online and offline. Second, it can support new forms of alternative politics inspired by more participatory modes of engagement.

scholarly journals Analyzing Political Polarization on Social Media by Deleting Bot Spamming

2022 ◽  
Vol 6 (1) ◽  
pp. 3
Author(s):  
Riccardo Cantini ◽  
Fabrizio Marozzo ◽  
Domenico Talia ◽  
Paolo Trunfio
Keyword(s):  
Social Media ◽  
Presidential Election ◽  
Opinion Mining ◽  
Political Support ◽  
Political Polarization ◽  
Political Issues ◽  
Political Factions ◽  
Us Presidential Election ◽  
Twitter Users ◽  
Rich Data

Social media platforms are part of everyday life, allowing the interconnection of people around the world in large discussion groups relating to every topic, including important social or political issues. Therefore, social media have become a valuable source of information-rich data, commonly referred to as Social Big Data, effectively exploitable to study the behavior of people, their opinions, moods, interests and activities. However, these powerful communication platforms can be also used to manipulate conversation, polluting online content and altering the popularity of users, through spamming activities and misinformation spreading. Recent studies have shown the use on social media of automatic entities, defined as social bots, that appear as legitimate users by imitating human behavior aimed at influencing discussions of any kind, including political issues. In this paper we present a new methodology, namely TIMBRE (Time-aware opInion Mining via Bot REmoval), aimed at discovering the polarity of social media users during election campaigns characterized by the rivalry of political factions. This methodology is temporally aware and relies on a keyword-based classification of posts and users. Moreover, it recognizes and filters out data produced by social media bots, which aim to alter public opinion about political candidates, thus avoiding heavily biased information. The proposed methodology has been applied to a case study that analyzes the polarization of a large number of Twitter users during the 2016 US presidential election. The achieved results show the benefits brought by both removing bots and taking into account temporal aspects in the forecasting process, revealing the high accuracy and effectiveness of the proposed approach. Finally, we investigated how the presence of social bots may affect political discussion by studying the 2016 US presidential election. Specifically, we analyzed the main differences between human and artificial political support, estimating also the influence of social bots on legitimate users.

What’s political Twitter talking about?

2018 ◽  
Vol 2 (2) ◽  
pp. 168-190
Author(s):  
Kylah J. Hedding ◽  
Kevin Ripka
Keyword(s):  
Social Media ◽  
News Media ◽  
Political Polarization ◽  
Main Question ◽  
Presidential Debates ◽  
Political Issues ◽  
The Public ◽  
The Media ◽  
Twitter Users ◽  
Policy Agendas

Abstract This study explicates the concept of news media agendamelding. While only one-quarter of U.S. adults are on Twitter, it remains a popular platform among news media and political elites who often still set the public agenda for political discourse. Twitter provides insights into the issues that are at the top of the media and policy agendas, as well as how social media might influence the way journalists approach political issues. At the same time, there is concern about the influence of social media on political polarization. This study uses a specific set of influential Twitter users to examine one main question: Were there differences between right, left, and center political media reactions during the 2016 presidential debates? This study provides further evidence that there is, in fact, a conservative political Twitter media agenda that exists separately from liberal or nonpartisan media outlets.

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.

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