Visualizing Social Network Influence

Author(s):  
Jeremy Harris Lipschultz

Billions of social media users communicate via Web and mobile platforms. A variety of measurement tools may be used to advance research methodologies in the study of computer-mediated communication (CMC). Social networking sites (SNS), such as Twitter, allow researchers to conduct exploratory data scraping and create visual mapping of possible relationships between social network accounts. The nature of the visualization depends upon the number of accounts within the social network, the amount of communication activity, the direction of specific communication, the amplification of messages across the network and other factors. A major challenge of this research method is disclosure and verification of individuals operating online identities. Additionally, most free research tools fail to disclose algorithms for generating scores and ranks. The purpose of this chapter is to explain how individual position, or centrality, is one reflection among many in the measurement of social network influence.

2018 ◽  
pp. 270-292
Author(s):  
Jeremy Harris Lipschultz

Billions of social media users communicate via Web and mobile platforms. A variety of measurement tools may be used to advance research methodologies in the study of computer-mediated communication (CMC). Social networking sites (SNS), such as Twitter, allow researchers to conduct exploratory data scraping and create visual mapping of possible relationships between social network accounts. The nature of the visualization depends upon the number of accounts within the social network, the amount of communication activity, the direction of specific communication, the amplification of messages across the network and other factors. A major challenge of this research method is disclosure and verification of individuals operating online identities. Additionally, most free research tools fail to disclose algorithms for generating scores and ranks. The purpose of this chapter is to explain how individual position, or centrality, is one reflection among many in the measurement of social network influence.


2020 ◽  
Vol 22 (4) ◽  
pp. 483-502
Author(s):  
Leticia-Tian Zhang ◽  
Daniel Cassany

Although coherence has been widely studied in computer-mediated communication (CMC), insufficient attention has been paid to emergent multimodal forms. This study analyzes a popular commentary system on Chinese and Japanese video-sharing sites – known as danmu or danmaku – where anonymous comments are superimposed on and scroll across the video frame. Through content and multimodal discourse analysis, we unpack danmu-mediated communication analyzing the newest interface (on Bilibili.com), the comments, the interpersonal interactions and the unusual use of the second-person pronoun. Results show that despite the technological constraints (hidden authorship, unmarked sending date and lack of options to structure comments), users construct order in interactions through repetition, danmu-specific expressions and multimodal references, while using playful language to make fun. This study provides an up-to-date analysis on an increasingly popular CMC medium beyond well-studied social networking sites, and broadens the understanding of coherence in contemporary CMC.


2021 ◽  
Vol 4 (3) ◽  
pp. 135-148
Author(s):  
Sabrina Rahma Utami ◽  
Rika Nurismah Safitri ◽  
Yohanes Ari Kuncoroyakti

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


Author(s):  
Carmen Maíz-Arévalo

Abstract: emoticons are ordinarily linked to more colloquial computer-mediated exchanges such as informal emails, chats, comments on social networking sites, etc. In these genres, the interactional function of language is also predominant even if there can also be transactional elements. The question rises whether more transactional and formal exchanges make a similar use of emoticons. This paper aims to compare the use of emoticons in two contrastive datasets of computer-mediated communication where either the interactional or transactional function predominates to find out whether emoticons are used as much in transactional as in interactional encounters and whether they perform the same functions.Resumen: en general, los emoticonos se asocian a contextos de carácter informal (mails informales, chats, redes sociales, etc.). En estos géneros, predomina la función interactiva del lenguaje incluso cuando hay cierta transacción. Esto nos lleva a plantearnos si los emoticonos tienen las misma frecuencia de uso y sirven para desempeñar las mismas funciones en aquellos intercambios mediados por ordenador de carácter más formal. El objetivo de este estudio es comparar el uso de los emoticonos en dos bases de datos: una de carácter interactivo frente a otra transaccional y ver si la frecuencia de uso y las funciones desempeñadas son equiparables.


2018 ◽  
Vol 9 (6) ◽  
pp. 101-105
Author(s):  
Rrahman Paçarizi

Abstract Instant messaging, texting, or even Computer Mediated Communication are the terms used to refer to communication in social networks. These terms are not the most appropriate ones because the technology and platforms of this way of communication have evolved rapidly. Since this communication is widespread, there is a need to have a much more standardized communication in terms of the language variety used for it. Having in mind various principles of socio cognitive approach in terminology, the study aimed to build a new appropriate term in this regard. Having in mind all the circumstances and the scale of standardization of this way of communication, I think that the best term that fits it is “Netlect”. This is done in order to include, using the same word, the name of the platform where this communication is being developed (net) and the paradigm for linguistic variety (lect), as in socio+lect, dia+lect etc. The case of Albanian and other languages goes in favour of this term because we are talking about “a language variety that never existed before”, as Ferrara, Brunner, and Whittemore stated earlier in 1991.


Author(s):  
Dean Taylor

Abstract This paper shows how computer mediated communication in a collaborative design process can be characterized and measured. The example data set is a very large Internet newsgroup captured during a sophomore design course. This paper addresses questions relevant to the management of the design process. Because the entire transaction has been captured, the messages in a newsgroup provide a wealth of information other than the name of the author. This paper attempts to use the topic and the time/date stamp to draw out deeper more subtle relationships. The weighted communication matrix is developed and a transformation is used to show that communication patterns can be detected. A dual concept, the Affinity Matrix, is presented to show relationships between topics. The topic space is developed to represent topic duration and participation. This leads to a formal definition of topic robustness. Communication activity is grouped by Myers-Briggs Personality Type of the participants. Based on analysis of cognitive modes, individuals tending to analytical and invention modes made active use of the newsgroup while individuals tending to affiliation and implementation made low use of the newsgroup.


Author(s):  
Varda Konstam

This chapter examines the ways in which technology influences the romantic behavior of emerging adults. From meeting new romantic partners to managing existing relationships to breaking up and recovering from breakups, computer-mediated communication (CMC) is entwined with romance. The ways in which CMC can objectify users and overwhelm them with too many choices are examined here. The chapter also examines dating apps as well as technologically influenced behaviors and challenges, such as “technoference” and sexting. The 29 study participants share their thoughts and experiences related to CMC and social networking sites, and how the inevitable presence of technology has affected their romantic lives.


2018 ◽  
Vol 5 (1) ◽  
pp. 23-48
Author(s):  
Eka Fadilah

This present study aims to investigate direct and indirect factors affecting willingness to communicate (WTC) in L2 by using Facebook. The emergence of Computer Mediated Communication (CMC) and Social Networking Sites (SNSs) such as Facebook (FB) provides the considerable changes in teaching and learning. Learning which is not only carried out in the classroom, but also out of the classroom. A new trend of using Social Networking Sites (SNSs) has been highlighted recently to prompt learners’ L2 WTC. 156 participants of university students of English Department participated by filling out a set of questionnaire with a 5-point Likert-scale encompassing students’ perception, motivation, communicative self-confidence (CSC), and Willingness to Communicate (L2 WTC). The participants are second semester English students from private and state universities in three cities in Indonesia: Surabaya, Bali, and Malang. Data collection and analysis used a software package, AMOS 20, to gauge the magnitude of the factors affecting L2 WTC by using FB platform. The finding shows that there are considerable effects on perception and motivation mediated by communicative self-confidence to WTC. While, communicative self-confidence shows the strongest predictor on L2 WTC.  


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