Introduction: What Does Biosensing Do?

Living Data ◽  
2019 ◽  
pp. 1-32
Author(s):  
Celia Roberts ◽  
Adrian Mackenzie ◽  
Maggie Mort ◽  
Theresa Atkinson ◽  
Mette Kragh-Furbo ◽  
...  
Keyword(s):  
Social Networks ◽  
Life Events ◽  
Data Science ◽  
Online Platforms ◽  
Regulatory Problems

Biosensor devices and biosensing practices emerge where health experience, scientific and medical knowledges and online platforms meet. In a synoptic discussion, we map some of these meetings and introduce the approach to health biosensing followed in this book. Our approach questions pervasive elementary assumptions about bodies, time and measurement. It expands to include a gamut of biosensings by comparing experiences of different life events, ranging from conception to ageing.  We flag some of the significant institutional and regulatory problems in aligning scientific and clinical knowledges around biosensors. And we describe the volatile mixing of devices, data science, marketing and social networks on contemporary health platforms in terms of the cultural logics of biosensing.

Parties versus Politicians Online

2018 ◽  
Author(s):  
Gideon Rahat ◽  
Ofer Kenig
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Consumption Rate ◽  
Party Leaders ◽  
Online Platforms ◽  
Online Presence ◽  
Facebook Pages

The chapter starts with a brief overview of the study of political personalization online, then focuses on its claims concerning the influence of online platforms on political personalization. It then analyses online personalization by comparing the online presence and activity of parties, party leaders, and prominent politicians from twenty-five democracies, and also the consumption rate of their Facebook pages. High variance at the national levels of personalization online demonstrates that personalization is not a necessary development of politics in the age of online social networks. Levels of online controlled media personalization do not seem to be generally high. Parties are present online more than individual politicians, and in most cases the amount of their output is higher. Online personalization in voters’ behavior—the consumption side—is, however, prevalent. Such personalization is evident in the amounts of the consumption of the outputs of party leaders, but not of other prominent politicians.

Negative Customer Experience in Lifestyle Hotels

2021 ◽  
pp. 126-157
Author(s):  
Manoel Vitor Santos ◽  
Amélia M. P. C. Brandão
Keyword(s):  
Social Networks ◽  
Text Mining ◽  
Consumer Behaviour ◽  
Online Reviews ◽  
Customer Experience ◽  
Customer Complaints ◽  
Online Platforms ◽  
Hotel Service ◽  
Hotel Managers

The primary purpose of the present research is to develop a methodology which can accurately analyse online public reviews on Google using Netnography studies combined with text mining analyses. By analysing the current techniques applied to a lifestyle hotel brand in nine properties in different countries and carefully studying how negative reviews are expressed online by costumers, this study aims to create a pattern of lifestyle customer complaints. This research seeks to demonstrate patterns of consumer behaviour that are not fully satisfied with the hotel service and how it can negatively affect the brand. This study identifies the areas that five stars lifestyle hoteliers and hotel managers need to pay attention to improve services, considering online reviews on online platforms, such as social networks and other tourism sites. Today, online reviews and customer experiences have a significant impact on the choice of a hotel.

The Comparability of Event-Related and General Social Support

2011 ◽  
pp. 339-359 ◽  
Author(s):  
Valentina Hlebec ◽  
Maja Mrzel ◽  
Tina Kogovšek
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Life Events ◽  
Support Network ◽  
Response Format ◽  
Major Life Events ◽  
Major Life ◽  
The Social ◽  
Related Approach ◽  
Relation Approach

Some studies (e.g., Kogovšek & Hlebec, 2008, 2009) have shown that the name generator and the role relation approaches to measuring social networks are to some extent comparable, but less so the name generator and the event-related approaches (Hlebec, Mrzel, & Kogovšek, 2009). In this chapter, the composition of the social support network assessed by both the general social support approach and the event-related approach (support during 15 major life events) is analyzed and compared. In both cases, the role relation approach is used. In addition, in both approaches a more elaborate (16 possible categories ranging from partner, mother, father, friend to no one) and a more simple (6 possible categories ranging from family member, friend, neighbor to no one) response format is applied and compared. The aim of the chapter is to establish, in a controlled quasi-experiment setting, whether the different approaches (i.e. the general social support and the event-related approach) produce similar social networks regardless of the response format (long vs. short).

Portuguese Citizens and Oncologic Institutions in Social Networks

2016 ◽  
Vol 4 (1) ◽  
pp. 70-84
Author(s):  
Nuno Martins ◽  
Daniel Brandão
Keyword(s):  
Social Networks ◽  
Communication Strategies ◽  
Participatory Media ◽  
Analysis And Evaluation ◽  
Online Platforms ◽  
The Way

This paper aims to unravel the way Portuguese citizens and institutions have been adopting online platforms for social networks within the framework of solidarity and citizenship against cancer. The authors will present an analysis of the communication strategies implemented by institutions and their outcomes, aiming at clarifying the contribution that this type of participatory media have been giving to the oncological cause. In the Portuguese case, this activity occurs essentially among the most disseminated online platforms, namely: Twitter, YouTube, blogs and mostly on Facebook. The study focuses on the activity of renowned oncologic institutions on Facebook, as well as on various other online platforms for social networks. After the analysis and evaluation of the institutions' activity the authors present a set of recommendations that will help them in using social networks to citizenship missions in oncology.

scholarly journals Addressing Misinformation in Online Social Networks: Diverse Platforms and the Potential of Multiagent Trust Modeling

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 539
Author(s):  
Robin Cohen ◽  
Karyn Moffatt ◽  
Amira Ghenai ◽  
Andy Yang ◽  
Margaret Corwin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Social Networking ◽  
Older Adult ◽  
Online Social Networks ◽  
Social Behaviour ◽  
Data Science ◽  
Science Studies ◽  
Trust Modeling ◽  
The Future

In this paper, we explore how various social networking platforms currently support the spread of misinformation. We then examine the potential of a few specific multiagent trust modeling algorithms from artificial intelligence, towards detecting that misinformation. Our investigation reveals that specific requirements of each environment may require distinct solutions for the processing. This then leads to a higher-level proposal for the actions to be taken in order to judge trustworthiness. Our final reflection concerns what information should be provided to users, once there are suspected misleading posts. Our aim is to enlighten both the organizations that host social networking and the users of those platforms, and to promote steps forward for more pro-social behaviour in these environments. As a look to the future and the growing need to address this vital topic, we reflect as well on two related topics of possible interest: the case of older adult users and the potential to track misinformation through dedicated data science studies, of particular use for healthcare.

scholarly journals The Strengths and Difficulties Questionnaire -Dysregulation Profile, Non-Suicidal Self-Injury Behaviors and the Mediating Role of Stressful Life Events

2018 ◽  
Vol 21 ◽  
Author(s):  
Irene Caro-Cañizares ◽  
Mónica Díaz de Neira-Hernando ◽  
Bernadette Pfang ◽  
Enrique Baca-Garcia ◽  
Juan J. Carballo
Keyword(s):  
Life Events ◽  
Stressful Life Events ◽  
Strengths And Difficulties Questionnaire ◽  
Stressful Life ◽  
Mediation Model ◽  
Self Injury ◽  
Dysregulation Profile ◽  
Strengths And Difficulties ◽  
The Relationship ◽  
Regulatory Problems

AbstractNon-suicidal self-injury (NSSI) behaviors are self-injurious behaviors inflicted without intending death. Literature has shown the relationship between stressful life events (SLE) and NSSI behaviors. The Strengths and Difficulties Questionnaire-Dysregulation Profile (SDQ-DP) is defined as an index of self-regulatory problems, related to higher risk for suicidal ideation and attempts in adolescents. In this study the relationship between SDQ-DP and NSSI behaviors, mediated by SLE in a clinical sample of children and adolescents is analyzed. A cross-sectional study was conducted on 239 subjects (aged from 11 to 17) to test the mediation model. SDQ-DP significantly correlates with NSSI behaviors (Wald = 6.5477, p = .0105); SDQ-DP significantly correlates with SLE (T = 5.7229, p < .001); SLE significantly correlates NSSI behaviors, and the relation remains significant whilst controlling for SDQ-DP (Wald = 4.1715, p = .041); the relation between SDQ-DP and NSSI behaviors stops being significant whilst controlling for the potential mediator (SLE) (Wald = 2.9951, p = .0835). Study of indirect effect supports the mediation model (.0585 CI [.0016, .1266]). Findings are compatible with the complete mediation scenario. These results point out the importance of self-regulatory problems in coping strategies with regards to SLE and the development of NSSI behaviors.

scholarly journals Deep Community Detection Method for Social Networks

2019 ◽  
Author(s):  
Ling Wu ◽  
Qishan Zhang ◽  
Chi-Hua Chen
Keyword(s):  
Social Networks ◽  
Community Structure ◽  
Community Detection ◽  
Adjacency Matrix ◽  
Information Dissemination ◽  
Detection Method ◽  
Mobile Internet ◽  
Reconstruction Method ◽  
Online Platforms ◽  
Proximity Matrix

With the fast development of the mobile Internet, the online platforms of social networks have rapidly been developing for the purpose of making friends, sharing information, etc. In these online platforms, users being related to each other forms social networks. Literature reviews have shown that social networks have community structure. Through the studies of community structure, the characteristics and functions of networks structure and the dynamical evolution mechanism of networks can be used for predicting user behaviours and controlling information dissemination. Therefore, this study proposes a deep community detection method which includes (1) matrix reconstruction method, (2) spatial feature extraction method and (3) community detection method. The original adjacency matrix in social network is reconstructed based on the opinion leader and nearer neighbors for obtaining spatial proximity matrix. The spatial eigenvector of reconstructed adjacency matrix can be extracted by an auto-encoder based on convolution neural network for the improvement of modularity. In experiments, four open datasets of practical social networks were selected to evaluate the proposed method, and the experimental results show that the proposed deep community detection method obtained higher modularity than other methods. Therefore, the proposed deep community detection method can effectively detect high quality communities in social networks.

scholarly journals Social Network Extraction Unsupervised

2021 ◽  
Vol 12 (3) ◽  
pp. 4443-4449
Author(s):  
Mahyuddin K. M. Nasution Et.al
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Information Technology ◽  
Big Data ◽  
Social Network ◽  
Data Science ◽  
Information Sources ◽  
Scientific Data

In the era of information technology, the two developing sides are data science and artificial intelligence. In terms of scientific data, one of the tasks is the extraction of social networks from information sources that have the nature of big data. Meanwhile, in terms of artificial intelligence, the presence of contradictory methods has an impact on knowledge. This article describes an unsupervised as a stream of methods for extracting social networks from information sources. There are a variety of possible approaches and strategies to superficial methods as a starting concept. Each method has its advantages, but in general, it contributes to the integration of each other, namely simplifying, enriching, and emphasizing the results.

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