scholarly journals "GO BACK IN YOUR FETUS CAVE": HOW PREDATORY INFLUENCERS MANIPULATE AUDIENCES THROUGH PLATFORM RETREATS

2021 ◽  
Author(s):  
PS Berge
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Predatory Behavior ◽  
Network Data ◽  
The Public ◽  
Channel One ◽  
High Profile ◽  
Cross Platform ◽  
Public Effort

In the summer of 2020, dozens of high-profile influencers in videogaming entertainment were accused of sexual harassment and predatory behavior. Among these, popular gaming YouTuber Craig Thompson (username 'Mini Ladd') confessed on Twitter to grooming minors but resumed uploading content to his YouTube channel one month later, resulting in public outcry. Thompson’s return to YouTube provides a case study in how predatory influencers can manipulate affordances across platforms, especially on YouTube, to insulate themselves from accountability and maintain their platform. Using scraped data from Twitter (34k tweets) and YouTube (62k comments and video network data), this article uses a mixed-methods social network analysis (Burgess and Matamoros-Fernández 2016) to map the public effort to deplatform Mini Ladd. This case study raises questions about cross-platform insulation and audience manipulation, by demonstrating how a predatory influencer 1) censored keywords in his comments to obfuscate criticism 2) gamed YouTube’s video algorithms to avoid references to his scandal and 3) redirected harassment onto his own fanbase. Ultimately, I argue that predatory influencers manipulate YouTube’s platform affordances to insulate themselves from accountability in the absence of moderation.

scholarly journals Social networks and farming resilience

2021 ◽  
pp. 003072702098481
Author(s):  
Ann Bruce ◽  
Cornell Jackson ◽  
Chrysa Lamprinopoulou
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Food Systems ◽  
Agricultural Systems ◽  
Social Challenges ◽  
High Profile ◽  
The Face

The resilience of food systems, including agricultural systems, has become a high profile issue in the face multiple disease, environmental and social challenges. Much of agriculture takes place in remote locations where social networks, or connections between individual actors, have been implicated in increasing resilience. We examine a case study of Orkney, Scotland, a remote rural location, using interviews and Social Network Analysis. This case study provides evidence indicative of resilient patterns of social networks, emphasising the importance of schools, transport links and livestock markets in creating and maintaining these networks. These domains are rarely included in agricultural policy, highlighting the need for wider framing of questions. Our research suggests Social Network Analysis is a fruitful avenue for investigating resilience of agricultural systems that can identify hitherto hidden elements.

Duality beyondPersons and Groups

2020 ◽  
pp. 391-413
Author(s):  
Sophie Mützel ◽  
Ronald Breiger
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Data ◽  
Future Directions ◽  
Affiliation Networks ◽  
The Social ◽  
Recent Developments ◽  
Principle Of Duality ◽  
Seminal Article

This chapter focuses on the general principle of duality, which was originally introduced by Simmel as the intersection of social circles. In a seminal article, Breiger formalized Simmel’s idea, showing how two-mode types of network data can be transformed into one-mode networks. This formal translation proved to be fundamental for social network analysis, which no longer needed data on who interacted with whom but could work with other types of data. In turn, it also proved fundamental for the analysis of how the social is structured in general, as many relations are dual (e.g. persons and groups, authors and articles, organizations and practices), and are thus susceptible to an analysis according to duality principles. The chapter locates the concept of duality within past and present sociology. It also discusses the use of duality in the analysis of culture as well as in affiliation networks. It closes with recent developments and future directions.

scholarly journals Evaluation of Coordination of Emergency Response Team through the Social Network Analysis. Case Study: Oil and Gas Refinery

2015 ◽  
Vol 6 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Iraj Mohammadfam ◽  
Susan Bastani ◽  
Mahbobeh Esaghi ◽  
Rostam Golmohamadi ◽  
Ali Saee
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Oil And Gas ◽  
The Social ◽  
Response Team ◽  
Gas Refinery

scholarly journals Scientific collaboration network ammong Brazilian universities

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Maria Isabel Escalona-Fernandez ◽  
Antonio Pulgarin-Guerrero ◽  
Ely Francina Tannuri de Oliveira ◽  
Maria Cláudia Cabrini Gracio
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scientific Collaboration ◽  
Methodological Approach ◽  
Scientific Production ◽  
Collaboration Network ◽  
Network Data ◽  
New Knowledge

This paper analyses the scientific collaboration network formed by the Brazilian universities that investigate in dentistry area. The constructed network is based on the published documents in the Scopus (Elsevier) database covering a period of 10 (ten) years. It is used social network analysis as the best methodological approach to visualize the capacity for collaboration, dissemination and transmission of new knowledge among universities. Cohesion and density of the collaboration network is analyzed, as well as the centrality of the universities as key-actors and the occurrence of subgroups within the network. Data were analyzed using the software UCINET and NetDraw. The number of documents published by each university was used as an indicator of its scientific production.

scholarly journals Identifying Integration and Differentiation in a Hospital’s Logistical System: A social network analysis of a case study

2020 ◽  
Author(s):  
Annelies van der Ham ◽  
Frits Van Merode ◽  
Dirk Ruwaard ◽  
Arno Van Raak
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Structure ◽  
Organization Theory ◽  
Exploratory Study ◽  
Case Study Research ◽  
Study Research ◽  
And Performance

Abstract Background Integration, the coordination and alignment of tasks, has been promoted widely in order to improve the performance of hospitals. Both organization theory and social network analysis offer perspectives on integration. This exploratory study research aims to understand how a hospital’s logistical system works, and in particular to what extent there is integration and differentiation. More specifically, it first describes how a hospital organizes logistical processes; second, it identifies the agents and the interactions for organizing logistical processes, and, third, it establishes the extent to which tasks are segmented into subsystems, which is referred to as differentiation, and whether these tasks are coordinated and aligned, thus achieving integration.Methods The study is based on case study research carried out in a hospital in the Netherlands. All logistical tasks that are executed for surgery patients were studied. Using a mixed method, data were collected from the Hospital Information System (HIS), documentation, observations and interviews. These data were used to perform a social network analysis and calculate the network metrics of the hospital network.Results This paper shows that 23 tasks are executed by 635 different agents who interact through 31,499 interaction links. The social network of the hospital demonstrates both integration and differentiation. The network appears to function differently from what is assumed in literature, as the network does not reflect the formal organizational structure of the hospital, and tasks are mainly executed across functional silos. Nurses and physicians perform integrative tasks and two agents who mainly coordinate the tasks in the network, have no hierarchical position towards other agents. The HIS does not seem to fulfill the interactional needs of agents. Conclusions This exploratory study reveals the network structure of a hospital. The cross-functional collaboration, the integration found, and position of managers, coordinators, nurses and doctors suggests a possible gap between organizational perspectives on hospitals and reality. This research sets a basis for further research that should focus on the relation between network structure and performance, on how integration is achieved and in what way organization theory concepts and social network analysis could be used in conjunction with one another.

scholarly journals Examining the Diffusion of Research-Based Instructional Strategies Using Social Network Analysis: A Case Study of SCALE-UP

2020 ◽  
Author(s):  
Xaver Neumeyer ◽  
Kathleen Foote ◽  
Robert Beichner ◽  
Melissa Dancy ◽  
Charles Henderson
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Instructional Strategies ◽  
Scale Up

Child Sex Tourism

2010 ◽  
Author(s):  
Heather Montgomery
Keyword(s):  
Sexual Exploitation ◽  
Small Community ◽  
Sex Tourism ◽  
Child Prostitution ◽  
The Public ◽  
High Profile ◽  
World Tourism Organization ◽  
Tourism Organization

If sex tourism is the dark, if debated, side of tourism, then child sex tourism represents the line in the sand that should never be crossed. While sex tourism involving adults provokes a variety of opinions and positions (Cohen, 1982; Oppermann, 1998; Kempadoo et al., 2005; O’Connell-Davidson and Sánchez Taylor, 2005; Sánchez Taylor, 2006; Day, 2007; Eades, 2009), child prostitution involving tourists is universally condemened and high-profile cases, such as the trial of Gary Glitter, point to the depths of public revulsion against such behaviour. The last 20 years have seen vocal campaigns against child sex tourism, resulting in changes in national legislation in many countries, statements and taskforces from the World Tourism Organization, the inauguration of World Congresses against the Commercial Sexual Exploitation of Children and a universal determination to stamp out a crime and a moral outrage. Despite the public outcry and changes in legislation, however, child sex tourism continues and, in some ways, the moral indignation that the subject arouses obscures certain aspects of the situations in which children caught up in prostitution live and work. There is still a dearth of information about how children meet clients, what is expected of them and their paths in and out of prostitution (Montgomery, 2001a, 2001b). Their clients are even more unknown and there is very little research (as opposed to anecdotal) evidence that discusses their motivations, their modus operandi or their choices about which countries they will visit and where they can find opportunities for sexual activity with children (Ennew, 1986; Montgomery, 2008; for an excellent overview of the available evidence see O’Connell-Davidson, 2005). At both national and international levels, legislation to protect children, although much heralded, has proved inadequate, and left unanswered important questions about enforcement and practical help for the children affected. In this chapter, I examine the legislation in place to tackle the problem of child sex tourism, and contrast this with a case study from Thailand of a small community in which children worked as prostitutes in order to support their parents and themselves. In doing so, I am not arguing for any moral ambivalence or ambiguity in discussions of child sex tourism. Rather, I wish to point out the lacuna between those discussions and the lived realities of the children.

Social Network Analysis in Marketing

E-Marketing ◽  
2012 ◽  
pp. 185-197
Author(s):  
Przemyslaw Kazienko ◽  
Piotr Doskocz ◽  
Tomasz Kajdanowicz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Network Data ◽  
Social Network Data ◽  
The Social ◽  
Targeted Marketing ◽  
Potential Customers ◽  
Demographic Features

The chapter describes a method how to perform a classification task without any demographic features and based only on the social network data. The concept of such collective classification facilitates to identify potential customers by means of services used or products purchased by the current customers, i.e. classes they belong to as well as using social relationships between the known and potential customers. As a result, a personalized offer can be prepared for the new clients. This innovative marketing method can boost targeted marketing campaigns.

Social Network Analysis in Marketing

2011 ◽  
pp. 271-283
Author(s):  
Przemyslaw Kazienko ◽  
Piotr Doskocz ◽  
Tomasz Kajdanowicz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Network Data ◽  
Social Network Data ◽  
The Social ◽  
Targeted Marketing ◽  
Potential Customers ◽  
Demographic Features

The chapter describes a method how to perform a classification task without any demographic features and based only on the social network data. The concept of such collective classification facilitates to identify potential customers by means of services used or products purchased by the current customers, i.e. classes they belong to as well as using social relationships between the known and potential customers. As a result, a personalized offer can be prepared for the new clients. This innovative marketing method can boost targeted marketing campaigns.

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