scholarly journals Network Analysis and Actors #CancelOmnibusLaw on Twitter Social Media Using Social Network Analysis (SNA)

2021 ◽  
Vol 4 (3) ◽  
pp. 135-148
Author(s):  
Sabrina Rahma Utami ◽  
Rika Nurismah Safitri ◽  
Yohanes Ari Kuncoroyakti
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communication Networks ◽  
Communication Theory ◽  
Computer Mediated Communication ◽  
Eigenvector Centrality ◽  
Mediated Communication ◽  
Computer Mediated ◽  
Centrality Analysis

Omnibus Law is the merging of several different rules into one law. RUU Cipta Kerja is one part of the Omnibus Law that attracts attention because it is considered detrimental to society. This caused a lot of rejection and protests from the society. The protest was held directly in the form of demonstrations in various regions of Indonesia and also in Twitter through #BatalkanOmnibusLaw. The purpose of this research is to find out the analysis of communication networks and identify influential actors in #BatalkanOmnibusLaw on Twitter. This research uses Social Network Analysis (SNA) methods and Computer-mediated Communication theory. Data is collected through Twitter from August 1-October 31, 2020. The process of analyzing and retrieving data is using Netlytic.org and Gephi software. The results showed that there were 62 actors with 153 interactions. Proximity between actors is worth 3, meaning close proximity and easy interaction between actors. The interactions created between actors are very few, uneven ,and the interactions that occur only one way. The #BatalkanOmnibusLaw is centered on ten actors, the most dominant account is @fraksirakyatid. Based on degree centrality analysis, closeness centrality, betweenness centrality, and eigenvector centrality the most influential actors in #BatalkanOmnibusLaw network are @fraksirakyatid and @walhinasional. Keywords: #BatalkanOmnibusLaw, Twitter, Actor, Communication Network

Emergent Networks in Computer-Supported Groups

2009 ◽  
pp. 397-412
Author(s):  
Michael Stefanone
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Computer Mediated Communication ◽  
Group Processes ◽  
Computer Supported Collaborative Learning ◽  
Mediated Communication ◽  
Learning Groups ◽  
Computer Mediated ◽  
Over Time

This chapter focuses on whether computer-mediated communication (CMC) tools are actually working to increase the overall level of participation within learning groups, in terms of increasing diversity of relationships within the group. First, this chapter provides a broad overview of social network analysis, and a synopsis of key concepts related to the network approach. In general terms, the literature review integrates network analysis vocabulary and literature on communities of practice. Then, an accessible example of how to apply network analysis to an investigation of computer-supported collaborative learning (CSCL) groups over time is provided. This is relevant given the increasing popularity of social network analysis, as well as people’s growing dependence on CMC tools to learn, work and play. The results contribute to the ongoing discussion regarding the role technology is having on relationships in computer-mediated contexts, and demonstrate the application of social network techniques to the study of group processes over time.

Emergent Networks in Computer-Supported Groups

2011 ◽  
pp. 87-102
Author(s):  
Michael Stefanone
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Computer Mediated Communication ◽  
Group Processes ◽  
Computer Supported Collaborative Learning ◽  
Mediated Communication ◽  
Learning Groups ◽  
Computer Mediated ◽  
Over Time

This chapter focuses on whether computer-mediated communication (CMC) tools are actually working to increase the overall level of participation within learning groups, in terms of increasing diversity of relationships within the group. First, this chapter provides a broad overview of social network analysis, and a synopsis of key concepts related to the network approach. In general terms, the literature review integrates network analysis vocabulary and literature on communities of practice. Then, an accessible example of how to apply network analysis to an investigation of computer-supported collaborative learning (CSCL) groups over time is provided. This is relevant given the increasing popularity of social network analysis, as well as people’s growing dependence on CMC tools to learn, work and play. The results contribute to the ongoing discussion regarding the role technology is having on relationships in computer-mediated contexts, and demonstrate the application of social network techniques to the study of group processes over time.

Identity Theories and Technology

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Robert Andrew Dunn
Keyword(s):  
Communication Theory ◽  
Computer Mediated Communication ◽  
Role Play ◽  
Multiple Identities ◽  
The Internet ◽  
Mediated Communication ◽  
Virtual Identity ◽  
Computer Mediated ◽  
The Impact ◽  
Modern Identity

Modern identity has been shaped by technology, which has in turn shaped theories in understanding identity. How one communicates who they are to others is given limitless possibilities by the advent of the Internet and computer-mediated environments. Thus, identity theory today must take into account computer-mediated communication theory and research. Such research indicates four ways in which identity is affected by technology. First, researchers have discussed the differences between an individual’s true identity and the virtual identity he or she presents, via self-selected text and images, to an online world. Second, researchers have discussed how the Internet can provide both protective anonymity for those who seek it and cathartic disclosure for those who need it. Third, researchers have discussed ways in which users pursue both reflective virtual lives online and role-play with identities, often multiple identities. Fourth, researchers have conducted experiments that reflect the impact that virtual identity has on the practice of communication and the impact communication has on the presentation of the self.

scholarly journals Inter-player variability in game patterns in high-level women's volleyball: A study with Outside Hitters (Near vs. Away) using Social Network Analysis. [Variabilidad entre jugadores en los patrones de juego en el voleibol femenino de alto nivel: Un estudio con bateadores externos (Cerca versus Lejos) usando Análisis de Redes Sociales].

2021 ◽  
Vol 17 (65) ◽  
pp. 234-250
Author(s):  
João Bernardo Martins ◽  
◽  
Isabel Mesquita ◽  
Ademilson Mendes ◽  
Letícia Santos ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Team Sports ◽  
Eigenvector Centrality ◽  
Redes Sociales ◽  
Functional Roles ◽  
High Level ◽  
Women's Volleyball ◽  
After Error

A wide body of research on team sports has focused on positional status based differences, providing information on inter-player variability according to the functional roles within the game. However, research addressing inter-player variability within the same positional/function status is scarce. The present article presents an analysis of inter-player variability within the same positional status during critical moments, in high-level women's volleyball, using Social Network Analysis. Attack actions of the outside hitters near (OHN) and away (OHA) from the setter were analysed in ten matches from the 2019 Volleyball Nations League Finals (268 plays). Two independent Eigenvector Centrality networks were created, one for OHN and another for OHA. Main results: (a) in side-out with ideal setting conditions, the OHA used more tips and exploration of the block than the OHN; under non-ideal setting conditions, the OHN had slower attack tempos than the OHA; (b) OHA used tip and directed attacks after error situations while OHN was typically not requested after error situations; (c) in transition, OHN typically attacked after having performed a previous action, performing a dual task within each ball possession, while OHA only attacked when there was no prior action; (d) there were also inter-positional similarities, with both OHN and OHA preferring a strong attack in ideal conditions during KI and KIV, and slower tempos in transition in non-ideal conditions. Conclusions: Even within the same positional status, there seems to be subtle, but relevant inter-player variability. Consequently, coaches should devote careful attention when assigning players to positional.

scholarly journals Exploratory Experiment on Co-Authorship Network using Social Network Analysis Metrics and Measures

2018 ◽  
Vol 7 (4.35) ◽  
pp. 782
Author(s):  
Pritheega Magalingam ◽  
Ganthan Narayana Samy ◽  
Nurazean Maarop ◽  
Wan Nazirul Hafeez Wan Safie ◽  
Muhammad Khairul Rijal ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Single Measure ◽  
Research Issues ◽  
Structure Topology ◽  
Relationship Analysis ◽  
Exploratory Experiment ◽  
Centrality Analysis ◽  
The Relationship

This paper contributes in understanding and gaining meaningful insight about the relationship among the scientist in the co-authorship network using social network analysis. We argue that the relationship analysis is not always a straightforward process. In the past one single measure, for example, the egocentric or centrality measure was used to describe the scientific collaboration patterns separately. In this paper, various analysis such as centrality analysis, ego network, community detection, largest clique and word frequency have been used to examine and interpret the collaboration among the authors. This research is not dominated by known researchers but involves an overall exploration of the network. Our research is mainly guided by the creation of research issues, assessing the type of dataset and the objectives for presenting the co-authorship relationships. It is important to identify the motive of the selected measures in order to achieve the predefined objective. Specific methodology and procedures are designed to solve each research issue respectively. This study reveals that the network interpretation should not be solely based on one network measure, but an explorative analysis results need to be considered because it allows exploring the hidden information through the changes in the network structure, topology patterns and nodes’ position.

scholarly journals Social Network Analysis in the Legislative Process in the Korean Medical Device Industry

2018 ◽  
Vol 55 ◽  
pp. 004695801879185 ◽  
Author(s):  
Munjae Lee ◽  
Kichan Yoon ◽  
Kyu-Sung Lee
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Medical Device ◽  
Structure Analysis ◽  
Network Structure ◽  
Eigenvector Centrality ◽  
Medical Device Industry ◽  
The Government ◽  
Device Industry

This study analyzes the legislation process of the Korean government regarding the development of the medical device industry in the perspective of the issue network. It also aims to identify the difference in network structure between conservative and progressive governments and analyze major issues and stakeholders. It examines the network structure in the legislation process of the government to develop and support the medical device industry through social network analysis (SNA). This study conducted a policy network structure analysis of the conservative and progressive governments. SNA was used for the structure analysis, using the contents of newspaper articles as the baseline data related to the medical device industry. We analyze using the 2-mode network analysis that the node centrality is determined by eigenvector centrality. The more nodes with great power (stakeholders, information, resources) it is linked to, the greater power centrality (eigenvector centrality) it will have, which indicates that it has great influence within the network. The conservative government discussed the promotion of the medical device industry led by government departments, focusing on its potential as a future growth engine. On the contrary, the progressive government tended to have fewer stakeholders and issues around the idea, shifting the stakeholders that lead the promotion of the industry from government departments to relevant interest groups, and focusing more on policy issues like transparency than on economic issues. We identify implications to legislate the relevant act by analyzing the relevant stakeholders and issues around legislation, while reinforcing the competitiveness of Korea’s medical device industry in the larger global framework. We believe that this study would comprehensively addresses the pros and cons of the government-led promotion of the medical device industry in Korea, as well as the key issues for stakeholders, which can be applicable to many other societies.

Aggression in media-sharing websites in the context of Greek political/parliamentary discourse in the years of the economic crisis

2020 ◽  
Vol 8 (2) ◽  
pp. 321-350
Author(s):  
Marianthi Georgalidou ◽  
Katerina T. Frantzi ◽  
Giorgos Giakoumakis
Keyword(s):  
Social Media ◽  
Communication Networks ◽  
Economic Crisis ◽  
Preliminary Analysis ◽  
Common Ground ◽  
Computer Mediated Communication ◽  
Mediated Communication ◽  
Political Issues ◽  
Computer Mediated ◽  
Verbal Discourse

Abstract In the context of the Greek economic crisis during the years 2009–2019, the aim of the present study is to discuss language aggression and derogatory forms of speech attested in user polylogues commenting on instances of parliamentary discourse uploaded to computer mediated communication networks. Within the framework of (im)politeness research (Culpeper 2005, 2011; Garcés-Conejos Blitvich 2010a; Haugh 2013; Lorenzo-Dus, et al. 2011; Mitchell and Haugh 2015), we investigate the correlation between impoliteness and abusive verbal discourse in both domains, i.e. parliamentary sittings and social media commentary. We explore their potential to establish a common ground in viewing political issues and determining ideological polarizations. We also attempt a preliminary analysis of swear words and derogatory references to Greek political personnel and their instrumentalisation for the division of the readership into those who support and those who oppose different political agendas.

Cognitive Social Mining Analysis Using Data Mining Techniques

2019 ◽  
pp. 99-117 ◽  
Author(s):  
Dharmpal Singh
Keyword(s):  
Data Mining ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Statistical Modelling ◽  
Data Interpretation ◽  
Computer Mediated ◽  
The Social ◽  
Using Data ◽  
Collaborative Activities

Social media are based on computer-mediated technologies that smooth the progress of the creation and distribution of information, thoughts, idea, career benefits and other forms of expression via implicit communities and networks. The social network analysis (SNA) has emerged with the increasing popularity of social networking services like Facebook, Twitter, etc. Therefore, information about group cohesion, contribution in activities, and associations among subjects can be obtained from the analysis of the blogs. The analysis of the blogs required well-known knowledge discovery tools to help the administrator to discover participant collaborative activities or patterns with inferences to improve the learning and sharing process. Therefore, the goal of this chapter is to provide the data mining tools for information retrieval, statistical modelling and machine learning to employ data pre-processing, data analysis, and data interpretation processes to support the use of social network analysis (SNA) to improve the collaborative activities for better performance.

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