Creating “(Social) Network Art” with NodeXL

2017 ◽  
pp. 342-393
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Network ◽  
Network Analysis ◽  
Web 2.0 ◽  
Data Visualization ◽  
Network Graph ◽  
Social Media Platforms ◽  
Machine Art ◽  
Social Sharing

If human-created objects of art are historically contingent, then the emergence of (social) network art may be seen as a product of several trends: the broad self-expression and social sharing on Web 2.0; the application of network analysis and data visualization to understand big data, and an appreciation for online machine art. Social network art is a form of cyborg art: it melds data from both humans and machines; the sensibilities of humans and machines; and the pleasures and interests of people. This chapter will highlight some of the types of (social) network art that may be created with Network Overview, Discovery and Exploration for Excel (NodeXL Basic) and provide an overview of the process. The network graph artwork presented here were all built from datasets extracted from popular social media platforms (Twitter, Flickr, YouTube, Wikipedia, and others). This chapter proposes some early aesthetics for this type of electronic artwork.

scholarly journals Sustainable Tourism Empowered by Social Network Analysis to Gain a Competitive Edge at a Historic Site

2021 ◽  
Vol 2 (4) ◽  
pp. 332-346
Author(s):  
Cathrine Linnes ◽  
Holly Itoga ◽  
Jerome Agrusa ◽  
Joseph Lema
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Tourism Industry ◽  
Tourism Destination ◽  
Strategic Direction ◽  
Social Media Platforms ◽  
Hospitality And Tourism Industry ◽  
Effective Use

Social media has had a strong presence in many people’s lives over the last decade. In addition, social media platforms have allowed people to share opinions, provide advice on numerous factors, including where to visit, as well as to stay connected and maintain friendships. The hospitality and tourism industry, however, can make effective use of these powerful tools for marketing purposes, collaboration and information sharing, and service offerings. Reviewing social media followers’ behaviors and interests offers a wealth of information and valuable data for a variety of tourism organizations. This case study focuses on an analysis of the social networks applied to the fortified town of Fredrikstad in Norway. The data used in this research study were collected from the Facebook site of the tourist authority. The results of this research project demonstrate the strengths of applying a social network analysis to a dataset, which can aid in the strategic direction of a tourism destination. The conversations of the greatest interest can successfully be identified as well as the growth of the online network. This paper adds knowledge to the literature through the application of a social network analysis regarding the success of a tourism destination and its future potential.

scholarly journals Exploring Behavior of People with Suicidal Ideation in a Chinese Online Suicidal Community

2018 ◽  
Vol 16 (1) ◽  
pp. 54 ◽  
Author(s):  
Zheng Wang ◽  
Guang Yu ◽  
Xianyun Tian
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Suicidal Ideation ◽  
Network Analysis ◽  
Online Communities ◽  
Chinese Women ◽  
Intervention Strategies ◽  
Effective Prevention ◽  
Social Media Platforms

People with suicidal ideation (PSI) are increasingly using social media to express suicidal feelings. Researchers have found that their internet-based communication may lead to the spread of suicidal ideation, which presents a set of challenges for suicide prevention. To develop effective prevention and intervention strategies that can be efficiently applied in online communities, we need to understand the behavior of PSI in internet-based communities. However, to date there have been no studies that specifically focus on the behavior of PSI in Chinese online communities. A total of 4489 postings in which users explicitly expressed their suicidal ideation were labeled from 560,000 postings in an internet-based suicidal community on Weibo (one of the biggest social media platforms in China) to explore their behavior. The results reveal that PSI are significantly more active than other users in the community. With the use of social network analysis, we also found that the more frequently users communicate with PSI, the more likely that users would become suicidal. In addition, Chinese women may be more likely to be at risk of suicide than men in the community. This study enriches our knowledge of PSI’s behavior in online communities, which may contribute to detecting and assisting PSI on social media.

scholarly journals Exploring the Roles of Social Participation in Mobile Social Media Learning: A Social Network Analysis

2015 ◽  
Vol 16 (4) ◽  
Author(s):  
Helmi Norman ◽  
Norazah Nordin ◽  
Rosseni Din ◽  
Mohamad Ally ◽  
Huseyin Dogan
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Participation ◽  
Future Research ◽  
Analysis Tool ◽  
Daily Lives ◽  
Social Media Platforms ◽  
Media Learning

<p class="BODYTEXT">Social media is increasingly becoming an essential platform for social connectivity in our daily lives. The availability of mobile technology has further fueled its importance – making it a ubiquitous tool for social interaction. An emerging mode of learning is the mobile social media learning where social media is used in the mobile learning mode. However, limited studies have been conducted to investigate roles of social participation in this field. Thus, the study investigates roles of social participation in mobile social media learning using the “ladder of participation and mastering”. Participants were students taking an educational technology course in a local university. The study was conducted in a four-month period. Data was collected from discussions while learning among the students using one of the mobile social media platforms, Facebook groups. The data was analyzed using a social network analysis tool, NodeXL. Data was analyzed based on egocentric networks, betweeness centrality, and closeness centrality. The findings revealed that there are four roles of social participation in mobile social media, which are: (i) lurkers; (ii) gradually mastering members/passive members; (iii) recognized members; and (iv) coaches. The findings also indicated that over the course of four months, learners can inter-change roles of social participation – becoming more central or less central in learning discussions. As a result, a <em>roles of social participation</em> scale for mobile social media learning is proposed. Future research could be conducted in other fields to investigate whether mobile social media could be used to promote learning. </p>

scholarly journals From Disruption to Dialog: Days of Judaism on Polish Twitter

Religions ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 828
Author(s):  
Mariusz Pisarski ◽  
Aleksandra Gralczyk
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Power Laws ◽  
Linguistic Analysis ◽  
Classical Rhetoric ◽  
Constructive Dialogue ◽  
The Social ◽  
Social Media Platforms

While social media platforms afford visibility to marginalized voices and enable dissemination of alternative narratives, their own “power laws” can make few users responsible for most of the attention. New power users can redirect discussion away from those who initiate a conversation. The aim of this study is to examine relations between the network “gatekeepers” and “gatewatchers” following the announcement of the Days of Judaism celebrated by the Polish Episcopate every January. Two methodological approaches were taken over two consecutive years: social network analysis (SNA), and linguistic analysis of social media discourse. The linguistic analysis confirmed importance of classical rhetoric effects on Twitter. The social network analysis revealed that a balanced, personal statement given by users with high network standing outside of the Twittersphere can ignite constructive dialogue in the spirit of the inter-religious exchange that the idea behind Days of Judaism stands for. Our conclusion is that a careful social media policy of the Church, a controlled engagement in the public conversation, possibly by lay sympathizers of high standing in the real public life, have the potential for dispensing with the infamous toxicity of Twitter, and for turning conversation on any topic, even the most controversial, into positive exchange within the community of believers.

‘Honey, They Stole My Flickr!’ Social Network Typologies, Online Trust and Dissent, and the Monetisation of Immaterial Labour

2014 ◽  
Vol 151 (1) ◽  
pp. 89-96 ◽  
Author(s):  
Philip Bagust
Keyword(s):  
Social Media ◽  
Corporate Governance ◽  
Social Network ◽  
Web 2.0 ◽  
Digital Image ◽  
Business Models ◽  
Private Ownership ◽  
Public And Private ◽  
Social Media Platforms ◽  
Governance Models

In May 2013, Flickr – one of the first great social media platforms and a pioneer in the use of the digital image as ‘social glue’ – launched a new platform design, unannounced, to its 80 million-plus user community. The changes brought Flickr more into line with newer mobile-focused Web 2.0 competitors, and were arguably inevitable if Flickr's owner, Yahoo, was to persist with the platform. However, the changes elicited a storm of protest from existing Flickr users. The author followed the progress of this ‘revolt’ for a month on Flickr's own user forums, and uses the insights gained to ask questions about current theorising of Web 2.0 platform typologies, their corporate governance and business models, and the apparent quietism of their massive immaterial labour ‘workforces’. The article concludes by asking whether we need to think beyond current Web 2.0 governance models that seem so welded to dichotomies of public and private ownership.

Tweeting for social justice in #Ferguson: Affective discourse in Twitter hashtags

2019 ◽  
Vol 21 (7) ◽  
pp. 1636-1653 ◽  
Author(s):  
Jeffrey Layne Blevins ◽  
James Jaehoon Lee ◽  
Erin E McCabe ◽  
Ezra Edgerton
Keyword(s):  
Social Media ◽  
Social Justice ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Personal Meaning ◽  
Social Justice Movements ◽  
Social Media Platforms ◽  
Justice Movements

Social media platforms have broadened the scope of voices responding to social justice movements, significantly impacting public conversations of important social justice issues. This social network analysis examined hashtags that were invoked on Twitter in the aftermath of the Mike Brown shooting in the St. Louis suburb of Ferguson in 2014. From the millions of tweets globally, the use of specific hashtags appeared to focus the conversation on Twitter toward the personal meaning of story events and framed the shooting as something relatable to the posters’ own lives and experiences.

scholarly journals Fear and Hope, Bitter and Sweet: Emotion Sharing of Cancer Community on Twitter

2020 ◽  
Vol 6 (1) ◽  
pp. 205630511989731 ◽  
Author(s):  
Jinping Wang ◽  
Lewen Wei
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Social Network ◽  
Network Analysis ◽  
Positive Emotions ◽  
Emotional Disclosure ◽  
Large Collection ◽  
Social Media Platforms ◽  
Health Communities ◽  
Deep Learning Model

Emotions are non-negligible parts of the experience among the cancer-affected population to be reckoned with. With the increasing usage of social media platforms as venues for emotional disclosure, we ask the question, what and how are the emotions of the cancer community being shared there? Using a deep learning model and social network analysis, we investigated emotions expressed in a large collection of cancer-related tweets. The results showed that joy was the most commonly shared emotion, followed by sadness and fear, with anger, hope, and bittersweet being less shared. In addition, both the gatekeepers and influencers were more likely to post content with positive emotions, while gatekeepers refrained themselves from posting negative emotions to a greater extent. Last, cancer-related tweets with joy, sadness, and hope received more likes, whereas tweets with joy and anger were more retweeted. The implications of the findings are discussed in the context of social media health communities.

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