scholarly journals Corporate Social Networks Applied in the Classroom

2016 ◽  
Vol 3 (2) ◽  
pp. 156
Author(s):  
Hugo De Juan-Jordán ◽  
María Guijarro-García ◽  
Javier Guardiola-Contreras
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Best Practices ◽  
Learning Process ◽  
Online Social Networks ◽  
Business School ◽  
Classroom Dynamics ◽  
Corporate Social ◽  
The Impact

<p class="Textoindependiente21"><span lang="EN-US">The impact of online social networks has been extensive because of the new way they enable not only in terms of the relation, communication and collaboration among people, but also between people and businesses. So much so, their use is already habitual within organizations, known as Corporate Social Networks, in order to achieve the same benefits.</span></p><p class="Textoindependiente21">The present study aims to analyze the advantages these corporate social networks have in the classroom seen as a micro-organization where a group of students interact, work and collaborate during a master´s or postgraduate course. To support this research, during 2015 a corporate social network (Yammer) has been introduced to 5 groups of students of various master´s in the prestigious business school ESIC. The feedback obtained from those students and some examples of classroom dynamics prove the usefulness and great value of a corporate social network in postgraduate classes, although some common difficulties and considerations raised by the students themselves have to be taken into account in order to manage its optimal adoption in class.</p><p class="Textoindependiente21">This study also tries to propose some guidelines and best practices obtained as a result of the experience of use and the adoption of social networks in class in order to improve the learning process and innovate in the methodology applied to education.</p>

Tweets of a Feather Flock Together

2018 ◽  
Vol 8 (2) ◽  
pp. 10-23
Author(s):  
Elena Alcalde Peñalver ◽  
Alexandra Santamaría Urbieta
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Pilot Study ◽  
Learning Process ◽  
Communicative Competence ◽  
English Class ◽  
Personal Level ◽  
The Impact

Nowadays, social networks (SN) are increasingly extended at a professional and personal level, and their use has also been included in educational contexts. In the field of translation and interpretation, in which this proposal is framed, the use of SN seems even more relevant, since working as a freelancer is one of the main professional opportunities of translators and interpreters. This article analyses the impact of Twitter on the learning process of an English class for students of the degree in translation and modern languages in terms of enhancing their communicative competence in English while at the same time increasing their motivation with an approach to professional reality. This analysis was part of a pilot study to examine to what extent the use of this social network could be useful and positive for our students.

Contemporary Gold Rush or Scientific Advancement

2015 ◽  
pp. 210-226
Author(s):  
Darren Quinn ◽  
Liming Chen ◽  
Maurice Mulvenna
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Social Networks ◽  
Interaction Analysis ◽  
Rapid Evolution ◽  
Gold Rush ◽  
Community Interactions ◽  
The Impact

Following the expansion and mass adoption of Online Social Networks, the impact upon the domain of Social Network Analysis has been a rapid evolution in terms of approach, developing sophisticated methods to capture and understand individual and community interactions. This chapter provides a comprehensive review, examining state-of-the-art Social Network Analysis research and practices, highlighting key trends within the domain. In section 1, the authors examine the growing awareness concerning data as a marketable and scientific commodity. Section 2 reviews the context of Online Social Networking, highlighting key approaches for analysing Online Social Networks. In section 3, they consider modelling motivations of networks, discussing models in line with tie formation approaches. Section 4 outlines data collection approaches along with common structural properties observed in related literature. The authors discuss future directions and emerging approaches, notably semantic social networks and social interaction analysis before conclusions are provided.

Professional Social Network Participation of Business School Graduates

2014 ◽  
Vol 5 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Craig C. Claybaugh ◽  
Peter Haried
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Business School ◽  
Future Research ◽  
University Graduates ◽  
Business Connections ◽  
And Gender ◽  
Development Participation ◽  
Degree Type

Social networks are having a profound impact on how professionals communicate and connect with each other. Online professional social networks have become a significant resource for building and maintaining invaluable business connections. Recent university graduates are a particular population often in search of building social networks to further professional development. Participation in online social networks provides a valuable tool for recent university graduates to create and sustain their professional connections and business relationships. This paper seeks to gain a better understanding of the effect university (nationally ranked, large urban, and regional), gender and degree type (undergraduate and graduate) has on online professional social network participation. The authors' business school college graduate findings suggest that university, degree type, and gender were associated with the likelihood of joining the online professional social network LinkedIn. An analysis of the results and future research directions are presented.

scholarly journals How migrants manifest their transnational identity through online social networks: comparative findings from a case of Koreans in Germany

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Sunyoung Park ◽  
Lasse Gerrits
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Point Of View ◽  
Comparative Case Study ◽  
Transnational Identity ◽  
Transnational Identities ◽  
Web 3.0 ◽  
Situational Contexts

AbstractAlthough migration has long been an imperative topic in social sciences, there are still needs of study on migrants’ unique and dynamic transnational identity, which heavily influences the social integration in the host society. In Online Social Network (OSN), where the contemporary migrants actively communicate and share their stories the most, different challenges against migrants’ belonging and identity and how they cope or reconcile may evidently exist. This paper aims to scrutinise how migrants are manifesting their belonging and identity via different technological types of online social networks, to understand the relations between online social networks and migrants’ multi-faceted transnational identity. The research introduces a comparative case study on an online social movement led by Koreans in Germany via their online communities, triggered by a German TV advertisement considered as stereotyping East Asians given by white supremacy’s point of view. Starting with virtual ethnography on three OSNs representing each of internet generations (Web 1.0 ~ Web 3.0), two-step Qualitative Data Analysis is carried out to examine how Korean migrants manifest their belonging and identity via their views on “who we are” and “who are others”. The analysis reveals how Korean migrants’ transnational identities differ by their expectation on the audience and the members in each online social network, which indicates that the distinctive features of the online platform may encourage or discourage them in shaping transnational identity as a group identity. The paper concludes with the two main emphases: first, current OSNs comprising different generational technologies play a significant role in understanding the migrants’ dynamic social values, and particularly, transnational identities. Second, the dynamics of migrants’ transnational identity engages diverse social and situational contexts. (keywords: transnational identity, migrants’ online social networks, stereotyping migrants, technological evolution of online social network).

Best Practices for Modeling Egocentric Social Network Data and Health Outcomes

2021 ◽  
pp. 193758672110137
Author(s):  
Jacqueline M. Burgette ◽  
Jacquelin Rankine ◽  
Alison J. Culyba ◽  
Kar-Hai Chu ◽  
Kathleen M. Carley
Keyword(s):  
Social Network ◽  
Best Practices ◽  
Health Outcomes ◽  
Organizational Behavior ◽  
Network Data ◽  
Egocentric Networks ◽  
Covariate Selection ◽  
Social Network Modeling ◽  
Egocentric Network ◽  
The Impact

Objective/Aim: We describe best practices for modeling egocentric networks and health outcomes using a five-step guide. Background: Social network analysis (SNA) is common in social science fields and has more recently been used to study health-related topics including obesity, violence, substance use, health organizational behavior, and healthcare utilization. SNA, alone or in conjunction with spatial analysis, can be used to uniquely evaluate the impact of the physical or built environment on health. The environment can shape the presence, quality, and function of social relationships with spatial and network processes interacting to affect health outcomes. While there are some common measures frequently used in modeling the impact of social networks on health outcomes, there is no standard approach to social network modeling in health research, which impacts rigor and reproducibility. Methods: We provide an overview of social network concepts and terminology focused on egocentric network data. Egocentric, or personal networks, take the perspective of an individual who identifies their own connections (alters) and also the relationships between alters. Results: We describe best practices for modeling egocentric networks and health outcomes according to the following five-step guide: (1) model selection, (2) social network exposure variable and selection considerations, (3) covariate selection related to sociodemographic and health characteristics, (4) covariate selection related to social network characteristics, and (5) analytic considerations. We also present an example of SNA. Conclusions: SNA provides a powerful repertoire of techniques to examine how relationships impact attitudes, experiences, and behaviors—and subsequently health.

Limitation of degree information for analyzing the interaction evolution in online social networks

2014 ◽  
Vol 25 (10) ◽  
pp. 1450056 ◽  
Author(s):  
Ke-Ke Shang ◽  
Wei-Sheng Yan ◽  
Xiao-Ke Xu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Services ◽  
Online Social Networks ◽  
Dynamic Network ◽  
Interaction Network ◽  
Strength Distribution ◽  
Customer Churn ◽  
Dynamic Social Network ◽  
Temporal Interactions

Previously many studies on online social networks simply analyze the static topology in which the friend relationship once established, then the links and nodes will not disappear, but this kind of static topology may not accurately reflect temporal interactions on online social services. In this study, we define four types of users and interactions in the interaction (dynamic) network. We found that active, disappeared, new and super nodes (users) have obviously different strength distribution properties and this result also can be revealed by the degree characteristics of the unweighted interaction and friendship (static) networks. However, the active, disappeared, new and super links (interactions) only can be reflected by the strength distribution in the weighted interaction network. This result indicates the limitation of the static topology data on analyzing social network evolutions. In addition, our study uncovers the approximately stable statistics for the dynamic social network in which there are a large variation for users and interaction intensity. Our findings not only verify the correctness of our definitions, but also helped to study the customer churn and evaluate the commercial value of valuable customers in online social networks.

Personality, risk tolerance and social network use: an exploratory study

2016 ◽  
Vol 42 (6) ◽  
pp. 536-552 ◽  
Author(s):  
Shaista Wasiuzzaman ◽  
Siavash Edalat
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Financial Risk ◽  
Ordinary Least Squares ◽  
Risk Tolerance ◽  
Network Activity ◽  
Least Squares Regression ◽  
Content Type ◽  
Financial Risk Tolerance

Purpose – The vast amount of information available via online social networks (OSN) makes it a very good avenue for understanding human behavior. One of the human characteristics of interest to financial practitioners is an individual’s financial risk tolerance. The purpose of this paper is to look at the relationship between an individual’s OSN behavior and his/her financial risk tolerance. Design/methodology/approach – The study uses data collected from a sample of 220 university students and the backward variables selection ordinary least squares regression analysis technique to achieve its objective. Findings – The results of the study find that the frequency of logging on to social network sites indicates an individual who has higher financial risk tolerance. Additionally, the increasing use of social networks for social connection is found to be associated with lower financial risk tolerance. The results are mostly consistent when the sample is split based on prior financial knowledge. Originality/value – To the authors’ knowledge this is the first study which documents the possibility of understanding an individual’s financial risk tolerance via his/her social network activity. This provides investment/financial consultants with more avenues for gathering information in order to understand their current or potential clients hence providing better services.

scholarly journals IMPACT OF OFFLINE AND ONLINE SOCIAL NETWORKS ON LONELINESS AND MENTAL HEALTH AMONG ITALIAN OLDER PEOPLE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S529-S529
Author(s):  
Daniele Zaccaria ◽  
Georgia Casanova ◽  
Antonio Guaita
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Older People ◽  
Online Social Networks ◽  
Social Network Sites ◽  
Well Being ◽  
Controlled Study ◽  
Face To Face ◽  
Causal Impact

Abstract In the last decades the study of older people and social networks has been at the core of gerontology research. The literature underlines the positive health effects of traditional and online social connections and also the social networks’s positive impact on cognitive performance, mental health and quality of life. Aging in a Networked Society is a randomized controlled study aimed at investigating causal impact of traditional face-to-face social networks and online social networks (e.g. Social Network Sites) on older people’ health, cognitive functions and well-being. A social experiment, based on a pre-existing longitudinal study (InveCe - Brain Aging in Abbiategrasso) has involved 180 older people born from 1935 to 1939 living in Abbiategrasso, a municipality near Milan. We analyse effects on health and well-being of smartphones and Facebook use (compared to engagement in a more traditional face-to-face activity), exploiting the research potential of past waves of InveCe study, which collected information concerning physical, cognitive and mental health using international validate scale, blood samples, genetic markers and information on social networks and socio-demographic characteristics of all participants. Results of statistical analysis show that poor social relations and high level of perceived loneliness (measured by Lubben Scale and UCLA Loneliness scale) affect negatively physical and mental outcomes. We also found that gender and marital status mediate the relationship between loneliness and mental wellbeing, while education has not significant effect. Moreover, trial results underline the causal impact of ICT use (smartphones, internet, social network sites) on self-perceived loneliness and cognitive and physical health.

Quantifying Virality of Information in Online Social Networks

2012 ◽  
Vol 4 (1) ◽  
pp. 32-45 ◽  
Author(s):  
Abhishek Vaish ◽  
Rajiv Krishna G. ◽  
Akshay Saxena ◽  
Dharmaprakash M. ◽  
Utkarsh Goel
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Critical Factors ◽  
Asset Valuation ◽  
Valuation Technique ◽  
Information Item ◽  
Viral Nature ◽  
Over Time

The aim of this research is to propose a model through which the viral nature of an information item in an online social network can be quantified. Further, the authors propose an alternate technique for information asset valuation by accommodating virality in it which not only complements the existing valuation system, but also improves the accuracy of the results. They use a popularly available YouTube dataset to collect attributes and measure critical factors such as share-count, appreciation, user rating, controversiality, and comment rate. These variables are used with a proposed formula to obtain viral index of each video on a given date. The authors then identify a conventional and a hybrid asset valuation technique to demonstrate how virality can fit in to provide accurate results.The research demonstrates the dependency of virality on critical social network factors. With the help of a second dataset acquired, the authors determine the pattern virality of an information item takes over time.

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