Social capital and social networks

Abstract Introduction Social capital can be defined as the ’sum of the resources, actual or virtual, that accrue to an individual or a group by virtue of possessing a durable network of networks or less institutionalized relationships of mutual acquaintance and recognition’. Nowadays there are a number of new way to have social relationship. Developing community and individual social capital is an important aspect for health promotion in order to decrease social isolation and health inequalities. Methods This research aims to detect to what extend online social networks can help in building social capital and decrease social isolation. An analysis of the content of an open Facebook group of people who are experiencing chronic diseases was carried out (7912 individuals). Results Text mining analysis was carried out, as well as a content analysis in order to identify which kind of social support and social capital emerged among participants. Results based on text mining (234.943 words) and thematic analysis (information, relationship, support) show that even virtual social group have an important impact on participants’ wellbeing and health. Participants seems to develop through participation all construct of social capital i.e. bonding, bridging and linking social capital. There is an overall increase in confidence and sense of community. However, virtual communication seems lacking of a number of crucial aspect of human interaction such as face to face communication or physical contact. Conclusions The use of social network as a new place of aggregation and socialization is an important aspect to look at. Virtual networks can have a role in developing relationship and to build trustiness on individuals. Public Health and Health Promotion, as well as health care professionals should be aware and concern about social capital as a key aspect of health and explore in depth the role of new social networks as a new way to build social capital and health of individuals and communities. Key messages Text mining as new useful tools for health research. Social capital and social network intersection.

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From Motivation and Self-Structure to a Decision-Support Framework for Online Social Networks

Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering ◽

10.4018/978-1-7998-9023-2.ch007 ◽

2021 ◽

pp. 161-181

Author(s):

Francisco Antunes ◽

Manuela Freire ◽

João Paulo Costa

Keyword(s):

Decision Making ◽

Social Networks ◽

Social Network ◽

Decision Support ◽

Online Social Networks ◽

Common Knowledge ◽

Online Social Network ◽

Human Interaction ◽

Human Capabilities ◽

Decision Support Framework

Data collected from online social networks offers new possibilities for supporting organizations' daily activities. It is also common knowledge that the opinion exchange in online social networks provides a decisive contribution in decision making. It is, thus, necessary to review and bare present the motivations by which people engage in online social network and the ways in which firms can make use of such motivations in order to take advantage of online social networks as information sources for decision-making support. To do so, the authors of this chapter developed the decision-support social networks to extract such information, which encompasses the intertwined use of human interaction and network structure by combining human capabilities, social network analysis (SNA), and automatic data mining. In this chapter, a brief summary of the performed case studies over the proposed information model is also presented.

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From Motivation and Self-Structure to a Decision-Support Framework for Online Social Networks

Multidisciplinary Perspectives on Human Capital and Information Technology Professionals - Advances in Information Security, Privacy, and Ethics ◽

10.4018/978-1-5225-5297-0.ch007 ◽

2018 ◽

pp. 116-136 ◽

Cited By ~ 1

Author(s):

Francisco Antunes ◽

Manuela Freire ◽

João Paulo Costa

Keyword(s):

Decision Making ◽

Social Networks ◽

Social Network ◽

Decision Support ◽

Online Social Networks ◽

Common Knowledge ◽

Online Social Network ◽

Human Interaction ◽

Human Capabilities ◽

Decision Support Framework

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

Comparative Migration Studies ◽

10.1186/s40878-020-00218-w ◽

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).

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

International Journal of Modern Physics C ◽

10.1142/s0129183114500569 ◽

2014 ◽

Vol 25 (10) ◽

pp. 1450056 ◽

Cited By ~ 6

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.

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

Managerial Finance ◽

10.1108/mf-05-2015-0159 ◽

2016 ◽

Vol 42 (6) ◽

pp. 536-552 ◽

Cited By ~ 2

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.

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

Innovation in Aging ◽

10.1093/geroni/igz038.1945 ◽

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.

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Quantifying Virality of Information in Online Social Networks

International Journal of Virtual Communities and Social Networking ◽

10.4018/jvcsn.2012010103 ◽

2012 ◽

Vol 4 (1) ◽

pp. 32-45 ◽

Cited By ~ 1

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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Defining Inspection Techniques for Detecting Privacy Problems in Online Social Networks

Journal of Interactive Systems ◽

10.5753/jis.2019.552 ◽

2019 ◽

Vol 10 ◽

pp. 35

Author(s):

Andrey Rodrigues ◽

Natasha M. C. Valentim ◽

Eduardo Feitosa

Keyword(s):

Social Networks ◽

Social Network ◽

Empirical Study ◽

Qualitative Analysis ◽

Online Social Networks ◽

Online Social Network ◽

Effective Alternative ◽

Daily Lives ◽

Study Participants ◽

Inspection Techniques

In the last few years, Online Social Networks (OSN) have experienced growth in the number of users, becoming an increasingly embedded part of people’s daily lives. Privacy expectations of OSNs are higher as more members start realizing potential privacy problems they face by interacting with these systems. Inspection methods can be an effective alternative for addressing privacy problems because they detect possible defects that could be causing the system to behave in an undesirable way. Therefore, we proposed a set of privacy inspection techniques called PIT-OSN (Privacy Inspection Techniques for Online Social Network). This paper presents the description and evolution of PIT-OSN through the results of a preliminary empirical study. We discuss the quantitative and qualitative results and their impact on improving the techniques. Results indicate that our techniques assist non-expert inspectors uncover privacy problems effectively, and are considered easy to use and useful by the study participants. Finally, the qualitative analysis helped us improve some technique steps that might be unclear.

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tugas review artikel

10.31227/osf.io/g5rcs ◽

2019 ◽

Author(s):

Arlika Anindya Putri

Keyword(s):

Social Capital ◽

Social Networks ◽

Social Media ◽

Social Network ◽

Firm Performance ◽

Positive Impact ◽

Social Capital Theory ◽

Capital Theory ◽

Mediating Role ◽

The Social

Purpose – The purpose of this study is to develop a structural equation model to explain the complexrelationship between social network and firm performance by introducing the mediating role of trust, sellingcapability and pricing capability.Design/methodology/approach – The research model with hypothesis development was derived basedon the literature. To provide empirical evidence, this study carried out a survey in which the data wereequated with a list of questionnaires with a random survey of 380 small and medium enterprises (SMEs) inthe Indonesian context.Findings – This study indicates that the use of social media in management process will not affect theincreasing firm performance, unless the firms build trust upon social networks. The social network with trustallows the firms to gain a pricing capability and a selling capability, which brings a positive impact on firmperformance. The results also show that the selling and the pricing capabilities become essential following theutilizing the social media, which concerns on trust building.Research limitations/implications – This study focused on the small-to-medium context, which hasconventionally provided an exemplary site for the development of social capital theory but raises issues ofgeneralizability across different contexts.Practical implications – To the managers, it is advisable to encourage their employees to consciouslyexploit the selling capability by enhancing the business networks via social media to achieve the firmperformance.Originality/value – This paper contributes to the social capital theory by explaining the mediating role oftrust in the complex relationship between social network and firm performance. This study provides evidencethat trust plays a pivotal role in social networks, which enable the observed firms to achieve the performance.

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