Legal Dimensions of Social Network Administrators in 
					the Emirates Federal Law

The thirteen years of age requirement to open any social network account does not guarantee that children under this age would not have access to social networks such as Facebook, Snapchat, Instagram, or YouTube just to mention some. The reason for this is that children want to be a part of this technological revolution, and create these accounts by lying about their age, or are aid by their parents without realizing the consequences this action might bring. While these social networks disclose that they delete information belonging to children under 13 from their databases as soon as they are aware of it, it is questionable if they are doing enough to protect children’s privacy , and if they should be liable for any incident related to this issue since such is widely known, but apparently neglected. Unfortunately, by social network administrators not reinforcing the age requirement policy, and launching features that makes its user’s personal information available to third parties, are indirectly exposing children with fraudulent accounts at risk of being victims of more serious ethical and social issues such as cyber bulling, and sex crimes. While it is determined that social network has little control over this issue, all which is left to do, is to provide parents with education and control of their children’s social network activity interaction to protect their privacy and keep them safe.

Download Full-text

Family Support in Early Hearing Detection and Intervention (EHDI) Systems

Perspectives on Hearing and Hearing Disorders in Childhood ◽

10.1044/hhdc22.1.11 ◽

2012 ◽

Vol 22 (1) ◽

pp. 11-21

Author(s):

Patti Martin ◽

Nannette Nicholson ◽

Charia Hall

Keyword(s):

Family Support ◽

Hard Of Hearing ◽

Critical Role ◽

Annual Conference ◽

Federal Law ◽

Think Tank ◽

Learning Collaborative ◽

Technological Advances ◽

Improved Outcomes ◽

Program Components

Family support has evolved from a buzzword of the 1990s to a concept founded in theory, mandated by federal law, valued across disciplines, and espoused by both parents and professionals. This emphasis on family-centered practices for families of young children with disabilities, coupled with federal policy initiatives and technological advances, served as the impetus for the development of Early Hearing Detection and Intervention (EHDI) programs (Nicholson & Martin, in press). White, Forsman, Eichwald, and Muñoz (2010) provide an excellent review of the evolution of EHDI systems, which include family support as one of their 9 components. The National Center for Hearing Assessment and Management (NCHAM), the Maternal and Child Health Bureau, and the Center for Disease Control Centers cosponsored the first National EHDI Conference. This conference brought stakeholders including parents, practitioners, and researchers from diverse backgrounds together to form a learning collaborative (Forsman, 2002). Attendees represented a variety of state, national, and/or federal agencies and organizations. This forum focused effort on the development of EHDI programs infused with translating research into practices and policy. When NCHAM, recognizing the critical role of family support in the improvement of outcomes for both children and families, created a think tank to investigate the concept of a conference centered on support for families of children who are deaf or hard of hearing in 2005, the “Investing in Family Support” (IFSC) conference was born. This conference was specifically designed to facilitate and enhance EHDI efforts within the family support arena. From this venue, a model of family support was conceptualized and has served as the cornerstone of the IFSC annual conference since 2006. Designed to be a functional framework, the IFSC model delineates where and how families find support. In this article, we will promote and encourage continued efforts towards defining operational measures and program components to ultimately quantify success as it relates to improved outcomes for these children and their families. The authors view this opportunity to revisit the theoretical underpinnings of family support, the emerging research in this area, and the basics of the IFSC Model of Family Support as a call to action. We challenge professionals who work with children identified as deaf or hard of hearing to move family support from conceptualization to practices that are grounded in evidence and ever mindful of the unique and dynamic nature of individual families.

Download Full-text

The social network

Skin & Allergy News ◽

10.1016/s0037-6337(13)70045-7 ◽

2013 ◽

Vol 44 (2) ◽

pp. 22

Author(s):

ALAN ROCKOFF

Keyword(s):

Social Network ◽

The Social

Download Full-text

Abstract #1249: Novel Use of Physician Social Network Data to Map the Gap in the Endocrinology Workforce

Endocrine Practice ◽

10.1016/s1530-891x(20)42480-2 ◽

2015 ◽

Vol 21 ◽

pp. 301

Author(s):

Armand Krikorian ◽

Lily Peng ◽

Zubair Ilyas ◽

Joumana Chaiban

Keyword(s):

Social Network ◽

Network Data ◽

Social Network Data

Download Full-text

Correlating Personality and Actual Phone Usage

Journal of Individual Differences ◽

10.1027/1614-0001/a000139 ◽

2014 ◽

Vol 35 (3) ◽

pp. 158-165 ◽

Cited By ~ 38

Author(s):

Christian Montag ◽

Konrad Błaszkiewicz ◽

Bernd Lachmann ◽

Ionut Andone ◽

Rayna Sariyska ◽

...

Keyword(s):

Big Data ◽

Social Network ◽

Mobile Phone ◽

Mobile Phones ◽

Self Report ◽

Psychological Variables ◽

New Approach ◽

Report Data ◽

Self Report Data ◽

Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

Download Full-text

Extraverts Have Larger Social Network Layers

Journal of Individual Differences ◽

10.1027/1614-0001/a000048 ◽

2011 ◽

Vol 32 (3) ◽

pp. 161-169 ◽

Cited By ~ 74

Author(s):

Thomas V. Pollet ◽

Sam G. B. Roberts ◽

Robin I. M. Dunbar

Keyword(s):

Social Network ◽

Social Relationships ◽

Outer Layer ◽

Network Size ◽

Emotional Intensity ◽

Emotional Closeness ◽

Network Layer ◽

Network Layers ◽

Social Network Size

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.

Download Full-text

The Multilevel p2 Model

Methodology ◽

10.1027/1614-2241.2.1.42 ◽

2006 ◽

Vol 2 (1) ◽

pp. 42-47 ◽

Cited By ~ 47

Author(s):

Bonne J. H. Zijlstra ◽

Marijtje A. J. van Duijn ◽

Tom A. B. Snijders

Keyword(s):

Social Network ◽

Network Data ◽

Mcmc Algorithm ◽

Independent Observation ◽

Single Observation ◽

Multiple Networks ◽

Social Network Data ◽

Multiple Observations ◽

Practical Support ◽

The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

Download Full-text

Learning Conversation and Shared Network Leadership

Journal of Personnel Psychology ◽

10.1027/1866-5888/a000015 ◽

2010 ◽

Vol 9 (4) ◽

pp. 181-194 ◽

Cited By ~ 11

Author(s):

Jürgen Weibler ◽

Sigrid Rohn-Endres

Keyword(s):

Qualitative Research ◽

Grounded Theory ◽

Social Network ◽

Interorganizational Networks ◽

Original Network ◽

High Quality ◽

Qualitative Research Design ◽

Collective Processes ◽

Shared Network ◽

Practical Implications

This paper develops an understanding of how shared leadership emerges in social network interactions. On the basis of a qualitative research design (grounded theory methodology – GTM) our study in two interorganizational networks offers insights into the interplay between structures, individuals, and the collective for the emergence of shared network leadership (SNL). The network-specific Gestalt of SNL appears as a pattern of collective and individual leadership activities unified under the roof of a highly developed learning conversation. More importantly, our findings support the idea that individual network leadership would not emerge without embeddedness in certain high-quality collective processes of relating and dialogue. Both theoretical and practical implications of this original network leadership perspective are discussed.

Download Full-text