scholarly journals An Analysis of Online Classes Tweets Using Gephi: Inputs for Online Learning

2021 ◽  
Vol 11 (12) ◽  
pp. 583-589
Author(s):  
Joje Mar P. Sanchez ◽  
◽  
Blanca A. Alejandro ◽  
Michelle Mae J. Olvido ◽  
Isidro Max V. Alejandro
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Learning ◽  
Network Analysis ◽  
Clustering Coefficient ◽  
Online Classes ◽  
Online Networks ◽  
Points Of View ◽  
Topic Sentiment ◽  
Small Interactions

The conduct of online classes has emerged as one of the major changes in the educational landscape at the onset of COVID-19. Its implementation has been met by varying reactions that have become evident in social media, particularly on Twitter. This paper analyzed #onlineclasses tweets of Filipino users using network analysis through Gephi and NodeXL software. The resulting network has 2,278 users and 998 interactions with many groups of small interactions among users, and low clustering coefficient and modularity values. The users in the top 8 communities in the network talk about the challenges brought about by online classes and the opportunities that online networks offer. Hence, the network of #OnlineClasses tweets can be described as a community cluster. Smaller groups of users who engaged in aspects of online classes emerge in the network, signifying that Filipinos have differing points of view about the topic. Sentiment sharing through social networks provides an avenue for sharing challenges and building communities that help address challenges for online learning in the pandemic.

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.

Personal Networks

2021 ◽  
Author(s):  
Bernice Pescosolido ◽  
Edward B. Smith
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Inequality ◽  
Personal Networks ◽  
Personal Network ◽  
Protest Movements ◽  
Composition And Structure

Social networks are ubiquitous. The science of networks has shaped how researchers and society understand the spread of disease, the precursors of loneliness, the rise of protest movements, the causes of social inequality, the influence of social media, and much more. Egocentric analysis conceives of each individual, or ego, as embedded in a personal network of alters, a community partially of their creation and nearly unique to them, whose composition and structure have consequences. This volume is dedicated to understanding the history, present, and future of egocentric social network analysis. The text brings together the most important, classic articles foundational to the field with new perspectives to form a comprehensive volume ideal for courses in network analysis. The collection examines where the field of egocentric research has been, what it has uncovered, and where it is headed.

Social Network Analysis

2018 ◽  
pp. 1-18 ◽  
Author(s):  
Somya Jain ◽  
Adwitiya Sinha
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Data Analysis ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Techniques ◽  
Text Images ◽  
Application Specific

Over the last decade, technology has thrived to provide better, quicker, and more effective platforms to help individuals connect and disseminate information to other individuals. The increasing popularity of these networks and its huge content in the form of text, images, and videos provides new opportunities for data analytics in the context of social networks. This motivates data mining experts and researchers to deploy various mining apparatus and application-specific tools for analysing the massive, intricate, and dynamic social media knowledge. The research detailed in this chapter would entail major social network concepts with data analysis techniques. Moreover, it gives insight to representation and modelling of social networks with research datasets and tools.

scholarly journals Increasing Brand Awareness of Sunshine Children Centre by Highlighting its Unique Selling Points in a Promotional Video

K ta Kita ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 1-7
Author(s):  
Stephanie Sutanto ◽  
Herwindy Maria Tedjaatmadja
Keyword(s):  
Social Media ◽  
Online Learning ◽  
Small Groups ◽  
Brand Awareness ◽  
Online Classes ◽  
Social Media Platforms ◽  
Promotional Video

Sunshine Children Centre, Semarang is an English Course established in 2005 by Sri Mulyani Gondowardono. This course teaches students from young toddlers up until Grade 6. Sunshine Children Centre’s main problem is the decreasing number of students due to the changes from offline to online classes and the fact that this course does not have any promotional tool. Therefore, after considering many factors, the best solution is to make a promotional video and upload it to social media platforms such as Instagram. The duration of the video is only a minute as a promotional video should not last longer than two minutes (Klass, 2018). The video highlights all of the three Unique Selling Points (USPs). The first USP is that this course helps students in their homework and give additional assignments. Second, it offers courses for small groups and private students while the last USP is that it accepts students from both regular and immersion curriculum. By having an engaging promotional video, Sunshine Children Centre will expectedly be able to attract new customers and maintain existing students.Keywords: online learning, promotional video, Unique Selling Points

scholarly journals The Use of Digital Social Networks and Engagement in Chilean Wine Industry

2021 ◽  
Vol 16 (5) ◽  
pp. 1248-1265
Author(s):  
Francisco Egaña ◽  
Claudia Pezoa-Fuentes ◽  
Lisandro Roco
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Statistical Analysis ◽  
Network Analysis ◽  
Competitive Advantage ◽  
Empirical Evidence ◽  
Marketing Strategies ◽  
Wine Industry ◽  
Qualitative And Quantitative ◽  
Descriptive Statistical Analysis

Recently, companies and consumers of the wine industry have changed their manner of two-way communication, with the rise of technology that introduces social networks and urges the spread of content. In this study, we identified the use and importance of engagement in social networks such as Facebook (2008 to 2018), Instagram (2012 to 2018) and Twitter (2010 to 2018) since the creation of their official accounts for the main Chilean wineries. The methods used involve qualitative and quantitative approaches that integrate the opinion of a panel of experts to estimate a social media engagement indicator through a descriptive statistical analysis and network analysis, from data originated of 70,856 publications. The results show the upward evolution of engagement, calculated through the interactions seen from users of social networks of the wineries, with users of networks of these wineries leaning towards Facebook in the first place, then Instagram, and Twitter. The contribution of this research lies in the generation of empirical evidence that allows the wine industry in a developing country to enhance its competitive advantage through the correct use of its social networks, the management of its engagement, and the diffusion of new marketing strategies.

Unveiling Network Data Patterns in Social Media

2022 ◽  
pp. 571-588
Author(s):  
Maria Prosperina Vitale ◽  
Maria Carmela Catone ◽  
Ilaria Primerano ◽  
Giuseppe Giordano
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Data ◽  
Online Data ◽  
Complex Picture ◽  
Definition Of ◽  
Network Patterns

The present study focuses on the usefulness of social network analysis in unveiling network patterns in social media. Specifically, the propagation and consumption of information on Twitter through network analysis tools are investigated to discover the presence of specific conversational patterns in the derived online data. The choosing of Twitter is motivated by the fact that it induces the definition of relationships between users by following communication flows on specific topics of interest and identifying key profiles who influence debates in the digital space. Further lines of research are discussed regarding the tools for discovering the spread of fake news. Considerable disinformation can be generated on social networks, offering a complex picture of informational disorientation in the digital society.

How to Study Online Networking

2022 ◽  
pp. 360-374
Author(s):  
Fabio Corbisiero
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Dissemination ◽  
Field Research ◽  
Social Phenomena ◽  
The Past ◽  
Network Research

Social media and social networks are pervasive in the daily use as well as in a number of applications. Social media and social networks are also intertwined, as the social medial platforms also offer the opportunity to develop and analyze social networks. Over the past two decades, there has been an explosion of interest in network research through social network analysis. Network research is “warm” today, with the number of articles on the topic of social media and social networks nearly tripling in the past decade. This interweaving has been a further breakthrough within field research yielding explanations for social phenomena in a wide variety of new ways. Social network analysis (SNA) has been recognized as a powerful tool for representing social network structures and information dissemination on the web. Here, the authors review the kinds of things that sociologists have tried to explain using social network analysis and provide a nutshell description of the basic assumptions, goals, and explanatory mechanisms prevalent in the field, with emphasis on SNA research methodology.

scholarly journals From Dark to Light: The Many Shades of Sharing Misinformation Online

2021 ◽  
Vol 9 (1) ◽  
pp. 134-143 ◽  
Author(s):  
Miriam J. Metzger ◽  
Andrew J. Flanagin ◽  
Paul Mena ◽  
Shan Jiang ◽  
Christo Wilson
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Language Processing ◽  
Large Scale ◽  
Future Research ◽  
Online Networks ◽  
Wide Range ◽  
Report Data ◽  
Preliminary Study ◽  
The Many

Research typically presumes that people believe misinformation and propagate it through their social networks. Yet, a wide range of motivations for sharing misinformation might impact its spread, as well as people’s belief of it. By examining research on motivations for sharing news information generally, and misinformation specifically, we derive a range of motivations that broaden current understandings of the sharing of misinformation to include factors that may to some extent mitigate the presumed dangers of misinformation for society. To illustrate the utility of our viewpoint we report data from a preliminary study of people’s dis/belief reactions to misinformation shared on social media using natural language processing. Analyses of over 2,5 million comments demonstrate that misinformation on social media is often disbelieved. These insights are leveraged to propose directions for future research that incorporate a more inclusive understanding of the various motivations and strategies for sharing misinformation socially in large-scale online networks.

A managerial perspective on omnichannel e-customer

2020 ◽  
pp. 5-17
Author(s):  
Maria Teresa Cuomo ◽  
Francesca Ceruti ◽  
Alice Mazzucchelli ◽  
Alex Giordano ◽  
Debora Tortora
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Empirical Analysis ◽  
Customer Experience ◽  
Tourism Industry ◽  
Point Of View ◽  
Social Commerce ◽  
Social Dimensions ◽  
Offline Channels ◽  
Managerial Perspective

The actual omnichannel customer uses indifferently both online and offline channels to express himself through consumption, which increasingly blends personal, cultural and social dimensions. In this perspective social media and social networks are able to assist e-retailers in their effort of creating a total e-customer experience, especially in the tourism industry, trying to satisfy their clients from the relational and commercial point of view. By means of an empirical analysis where managers were interviewed on the topic and its degree of application in the firms, the paper underlines how from the managerial point of view, that represents a new prospect on the topic, the expected shift from e-commerce to social commerce paradigm, facilitating the selling and buying of products and services by using various internet features, is nowadays not completely understood and realized.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

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