scholarly journals Mapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications

2015 ◽  
Vol 17 (6) ◽  
pp. e160 ◽  
Author(s):  
Trevor van Mierlo ◽  
Douglas Hyatt ◽  
Andrew T Ching
Keyword(s):  
Social Networks ◽  
Power Law ◽  
Digital Health ◽  
Power Law Distributions ◽  
Practical Implications

scholarly journals The role of economic, educational and social resources in supporting the use of digital health technologies by people with T2D: a qualitative study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sophie Turnbull ◽  
Patricia J. Lucas ◽  
Alastair D. Hay ◽  
Christie Cabral
Keyword(s):  
Social Networks ◽  
Social Status ◽  
Digital Health ◽  
Self Care ◽  
Social Resources ◽  
Health Interventions ◽  
Structured Interviews ◽  
Health Technologies ◽  
Digital Skills ◽  
Care Support

Abstract Background Type 2 Diabetes (T2D) is a common chronic disease, with socially patterned incidence and severity. Digital self-care interventions have the potential to reduce health disparities, by providing personalised low-cost reusable resources that can increase access to health interventions. However, if under-served groups are unable to access or use digital technologies, Digital Health Technologies (DHTs) might make no difference, or worse, exacerbate health inequity. Study aims To gain insights into how and why people with T2D access and use DHTs and how experiences vary between individuals and social groups. Methods A purposive sample of people with experience of using a DHT to help them self-care for T2D were recruited through diabetes and community groups. Semi-structured interviews were conducted in person and over the phone. Data were analysed thematically. Results A diverse sample of 21 participants were interviewed. Health care practitioners were not viewed as a good source of information about DHTs that could support T2D. Instead participants relied on their digital skills and social networks to learn about what DHTs are available and helpful. The main barriers to accessing and using DHT described by the participants were availability of DHTs from the NHS, cost and technical proficiency. However, some participants described how they were able to draw on social resources such as their social networks and social status to overcome these barriers. Participants were motivated to use DHTs because they provided self-care support, a feeling of control over T2D, and personalised advice or feedback. The selection of technology was also guided by participants’ preferences and what they valued in relation to DHTs and self-care support, and these in turn were influenced by age and gender. Conclusion This research indicates that low levels of digital skills and high cost of digital health interventions can create barriers to the access and use of DHTs to support the self-care of T2D. However, social networks and social status can be leveraged to overcome some of these challenges. If digital interventions are to decrease rather than exacerbate health inequalities, these barriers and facilitators to access and use must be considered when DHTs are developed and implemented.

scholarly journals Predicting observational signatures of coronal heating by Alfvén waves and nanoflares

2007 ◽  
Vol 3 (S247) ◽  
pp. 279-287
Author(s):  
Patrick Antolin ◽  
Kazunari Shibata ◽  
Takahiro Kudoh ◽  
Daiko Shiota ◽  
David Brooks
Keyword(s):  
Power Law ◽  
Alfven Waves ◽  
Alfvén Waves ◽  
Power Law Distribution ◽  
Longitudinal Modes ◽  
Heating Mechanism ◽  
Set Up ◽  
Power Law Index ◽  
Power Law Distributions ◽  
Release Processes

AbstractAlfvén waves can dissipate their energy by means of nonlinear mechanisms, and constitute good candidates to heat and maintain the solar corona to the observed few million degrees. Another appealing candidate is the nanoflare-reconnection heating, in which energy is released through many small magnetic reconnection events. Distinguishing the observational features of each mechanism is an extremely difficult task. On the other hand, observations have shown that energy release processes in the corona follow a power law distribution in frequency whose index may tell us whether small heating events contribute substantially to the heating or not. In this work we show a link between the power law index and the operating heating mechanism in a loop. We set up two coronal loop models: in the first model Alfvén waves created by footpoint shuffling nonlinearly convert to longitudinal modes which dissipate their energy through shocks; in the second model numerous heating events with nanoflare-like energies are input randomly along the loop, either distributed uniformly or concentrated at the footpoints. Both models are based on a 1.5-D MHD code. The obtained coronae differ in many aspects, for instance, in the simulated intensity profile that Hinode/XRT would observe. The intensity histograms display power law distributions whose indexes differ considerably. This number is found to be related to the distribution of the shocks along the loop. We thus test the observational signatures of the power law index as a diagnostic tool for the above heating mechanisms and the influence of the location of nanoflares.

From campfire to coliseum: motivations for using social networks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Paula Castro Pires de Souza Chimenti ◽  
Marco Aurelio de Souza Rodrigues ◽  
Marcelo Guedes Carneiro ◽  
Roberta Dias Campos
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Exploratory Study ◽  
Design Methodology ◽  
Qualitative Approach ◽  
Content Type ◽  
Media Usage ◽  
Practical Implications ◽  
Collective Narrative

Purpose Through a literature review, a gap has been identified regarding the role of competition as a driver of social network (SN) usage. This study aims to design to address this gap, seeking motivators for SN usage based on how SN consumption may be related to users’ experience of competition. Therefore, the purpose of this study is to investigate the influence of competition in social media usage. Design/methodology/approach The authors used an exploratory qualitative approach, conducting a set of focus groups with young social media users. Data was analyzed with software. Findings Two new drivers for SN use are proposed, namely, competition and collective narrative. Research limitations/implications This is an exploratory study, and it does not seek to generalize results or quantify causal relationships among variables. Practical implications This paper offers SN managers a deeper understanding of key growth drivers for these media. Social implications This research can help society understand and debate the impacts of SNs on users’ lives, providing insights into drivers of excessive usage. Originality/value This paper proposes the following two SN usage drivers yet to be described in the literature: competition and collective narrative.

From the central limit theorem to heavy-tailed distributions

2003 ◽  
Vol 40 (3) ◽  
pp. 803-806 ◽  
Author(s):  
Jinwen Chen
Keyword(s):  
Central Limit Theorem ◽  
Limit Theorem ◽  
Central Limit ◽  
Power Law ◽  
Power Law Distribution ◽  
The Central Limit Theorem ◽  
Heavy Tailed Distributions ◽  
Heavy Tailed ◽  
Random Indices ◽  
Power Law Distributions

It has been observed that in many practical situations randomly stopped products of random variables have power law distributions. In this note we show that, in order for such a product to have a power law distribution, the only random indices are the exponentially distributed ones. We also consider a more general problem, which is closely related to problems concerning transformation from the central limit theorem to heavy-tailed distributions.

scholarly journals The impact of Influencer marketing on consumer buying behavior in social networks

2019 ◽  
Author(s):  
Miglė Černikovaitė
Keyword(s):  
Social Networks ◽  
Research Area ◽  
Buying Behavior ◽  
Shared Information ◽  
The Impact ◽  
Conceptual Research ◽  
Practical Implications ◽  
Scientific Topic ◽  
Customer Satisfaction And Loyalty ◽  
Consumer Buying Behavior

Purpose – the purpose of the article is to analyze the impact effect of Influencers marketing on consumer buying behavior by determining which partnership opportunities are most relevant. Research methodology – the theoretical analysis of scientific literature and quantitative statistical analysis of empirical research results. Findings – the research in Lithuania has shown that before making a decision to purchase a product or a service, most respondents are actively seeking information in social networks by reading other costumers feedback. Moreover, the survey reveals that recommendations, comments, shared information about certain brands by Influencers are the most important factors in changing buying behavior. Research limitations – the main limitations of research may be the geographical research area – Lithuania and social networks (Facebook). Practical implications – understanding of Influencers impact on consumer buying behavior. Originality/Value – this scientific topic is rather new. Scientists, like Matsumura, Yamamoto, & Tomozawa (2008), investigated Influencers and Consumer Insights impact in the Blogosphere; Thakur, Srivastava (2015) presented a Conceptual research model of Influencers impact of Customer Satisfaction and Loyalty and etc. However, there is a lack of research investigating the impact of Influencer marketing on consumer buying behavior. This research aims to fill this gap in the Lithuanian case

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