The use of social network methodological framework in nursing care to breastfeeding women

This study aimed to discuss the contribution of the social network methodological framework in nursing care delivered to women who breastfeed their children up to six months of age. This qualitative study aimed to elaborate the social network map of 20 women through tape-recorded interview. Social network analysis evidenced a "strong" bond between these women and members from their primary network, especially friends, neighbors, mothers or with the child's father, who were reported as the people most involved in the breastfeeding period. The contribution of this framework to nursing practice is discussed, especially in care and research processes. We believe that nurses' appropriation of this framework can be an important support for efficacious actions, as well as to favor a broader perspective on the social context people experience.

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Who bullies whom online: A social network analysis of cyberbullying in a school context

Communications ◽

10.1515/commun-2014-0019 ◽

2014 ◽

Vol 39 (4) ◽

Cited By ~ 20

Author(s):

Denis Wegge ◽

Heidi Vandebosch ◽

Steven Eggermont

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Social Context ◽

Network Analysis ◽

School Context ◽

Future Research ◽

Traditional Bullying ◽

Online Bullying ◽

The Social ◽

Bullying Behavior

AbstractYoung adolescents’ online bullying behavior has raised a significant amount of academic attention. Nevertheless, little is known about the social context in which such negative actions occur. The present paper addresses this issue and examines how the patterns of traditional bullying and cyberbullying are related, and how electronic forms of bullying can be linked to the social context at school. To address these questions, social network analysis was applied to examine the networks of social interactions and (cyber)bullying among an entire grade of 1,458 thirteen- to fourteen-year-old pupils. The results show that (1) cyberbullying is an extension of traditional bullying as victims often face the same perpetrators offline and online, (2) there is evidence of mutual cyberbullying among youngsters, and (3) cyberbullying is more likely to occur in same-gender and same-class students. The implications for future research and prevention of cyberbullying are discussed.

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Tsunami early warning chain assessment utilizing social network analysis

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/916/1/012034 ◽

2021 ◽

Vol 916 (1) ◽

pp. 012034

Author(s):

I Fardani ◽

F B Emirul

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Early Warning ◽

Tsunami Early Warning ◽

Tsunami Disaster ◽

A Value ◽

The People ◽

Structural Relationships ◽

The Social

Abstract The application of rapid and accurate disaster early warning information has served as the key to successful mitigation for natural disaster. For example, in a tsunami disaster condition, precise information from authorized stakeholders must be immediately and accurately conveyed to the people potentially affected by the disaster. However, in practice in the field, the disseminated information has been however uncertain, failing to reach the lowest level of society. For this reason, a study is required to identify the information network that existed in the community when the tsunami disaster occurred. One method in determining this information includes Social Network Analysis (SNA), referring to a study method of structural relationships among the interacting network members, involving: individuals, organizations, or institutions. In this study, a survey was conducted to 90 respondents at the disaster location. From the results, it was found that 14 actors were involved in disseminating information on the tsunami disaster in the lowest community. The result of the Social Network Analysis indicated that the value of the degree of centrality, actor of mosque information obtained the highest value of 0.231, implementing that most of the community at the lowest level received tsunami information from announcements disseminated through information from mosques. Meanwhile, the lowest value of network closeness centrality was hamlet (RT/RW), having a value of 0.876, indicating that information from the mosque was beneficial as disaster early warning information. Upon calculating the degree of centrality and closeness at the lowest level of society, information from mosques and hamlet (RT/RW) serves as the most influential actor in disseminating tsunami information in Pandeglang Regency, Banten, Indonesia.

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Seven decades of chemotherapy clinical trials: a pan-cancer social network analysis

Scientific Reports ◽

10.1038/s41598-020-73466-6 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Xuanyi Li ◽

Elizabeth A. Sigworth ◽

Adrianne H. Wu ◽

Jess Behrens ◽

Shervin A. Etemad ◽

...

Keyword(s):

Clinical Trials ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Network Effects ◽

Social Dynamics ◽

Scale Free ◽

High Profile ◽

The People ◽

The Social

Abstract Clinical trials establish the standard of cancer care, yet the evolution and characteristics of the social dynamics between the people conducting this work remain understudied. We performed a social network analysis of authors publishing chemotherapy-based prospective trials from 1946 to 2018 to understand how social influences, including the role of gender, have influenced the growth and development of this network, which has expanded exponentially from fewer than 50 authors in 1946 to 29,197 in 2018. While 99.4% of authors were directly or indirectly connected by 2018, our results indicate a tendency to predominantly connect with others in the same or similar fields, as well as an increasing disparity in author impact and number of connections. Scale-free effects were evident, with small numbers of individuals having disproportionate impact. Women were under-represented and likelier to have lower impact, shorter productive periods (P < 0.001 for both comparisons), less centrality, and a greater proportion of co-authors in their same subspecialty. The past 30 years were characterized by a trend towards increased authorship by women, with new author parity anticipated in 2032. The network of cancer clinical trialists is best characterized as strategic or mixed-motive, with cooperative and competitive elements influencing its appearance. Network effects such as low centrality, which may limit access to high-profile individuals, likely contribute to the observed disparities.

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Assessment of Social Sustainability in Construction Projects Using Social Network Analysis

Journal of International Business Research and Marketing ◽

10.18775/jibrm.1849-8558.2015.36.3003 ◽

2018 ◽

Vol 3 (6) ◽

pp. 35-46 ◽

Cited By ~ 1

Author(s):

Essam Almahmoud ◽

Hemanta Kumar Doloi

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Social Context ◽

Network Analysis ◽

Construction Projects ◽

Dynamic Assessment ◽

Social Sustainability ◽

Assessment Model ◽

Novel Approach ◽

The Social

This paper aims to propose a framework that puts the stakeholders at the forefront of achieving sustainability in the social context. This research, thus, argues that the social sustainability outcomes in construction are best achieved by taking into account the satisfaction of the stakeholders. Based on sustainability and equity theories, a dynamic assessment model has been developed to evaluate the contributions of projects in a social context. Multiple stakeholders and their differing interests associated with the construction projects have been integrated using social network analysis. The mapping of the relationships between the project stakeholders, with respect to their relative stakes and seven social core functions, have been integrated into the assessment model. The findings of this research suggest that the degree of satisfying the needs of diverse stakeholders is highly significant in achieving social sustainability performance of projects. Using a case study from Saudi Arabia, the applicability and significance of the assessment model has been demonstrated. The application of the model provides the opportunity to identify any problems and to enhance the overall performance of projects in the social context. The functionality and efficacy of the model need to be further tested outside the Saudi Arabian region. The research is original in the sense that for the first time, a novel approach has been developed, putting the stakeholders at the forefront of achieving sustainability outcomes in construction projects

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Assessment of social sustainability in construction projects using social network analysis

Facilities ◽

10.1108/f-05-2013-0042 ◽

2015 ◽

Vol 33 (3/4) ◽

pp. 152-176 ◽

Cited By ~ 50

Author(s):

Essam Almahmoud ◽

Hemanta Kumar Doloi

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Social Context ◽

Network Analysis ◽

Construction Projects ◽

Dynamic Assessment ◽

Social Sustainability ◽

Assessment Model ◽

Content Type ◽

The Social

Purpose – This paper aims to propose a framework that puts the stakeholders at the forefront of achieving sustainability in the social context. This research, thus, argues that the social sustainability outcomes in construction are best achieved by taking into account the satisfactions of the stakeholders. Design/methodology/approach – Based on sustainability and equity theories, a dynamic assessment model has been developed to evaluate the contributions of projects in a social context. Multiple stakeholders and their differing interests associated with the construction projects have been integrated using social network analysis. The mapping of the relationships between the project stakeholders, with respect to their relative stakes and seven social core functions, have been integrated in the assessment model. Findings – The findings of this research suggest that the degree of satisfying the needs of diverse stakeholders is highly significant in achieving social sustainability performance of projects. Using a case study from Saudi Arabia, the applicability and significance of the assessment model has been demonstrated. The application of the model provides the opportunity to identify any problems and to enhance the overall performance of projects in the social context. Research limitations/implications – The functionality and efficacy of the model need to be further tested outside the Saudi Arabian region. Originality/value – The research is original in the sense that for the first time, a novel approach has been developed, putting the stakeholders at the forefront of achieving sustainability outcomes in construction projects.

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Duality beyondPersons and Groups

The Oxford Handbook of Social Networks ◽

10.1093/oxfordhb/9780190251765.013.9 ◽

2020 ◽

pp. 391-413

Author(s):

Sophie Mützel ◽

Ronald Breiger

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Network Data ◽

Future Directions ◽

Affiliation Networks ◽

The Social ◽

Recent Developments ◽

Principle Of Duality ◽

Seminal Article

This chapter focuses on the general principle of duality, which was originally introduced by Simmel as the intersection of social circles. In a seminal article, Breiger formalized Simmel’s idea, showing how two-mode types of network data can be transformed into one-mode networks. This formal translation proved to be fundamental for social network analysis, which no longer needed data on who interacted with whom but could work with other types of data. In turn, it also proved fundamental for the analysis of how the social is structured in general, as many relations are dual (e.g. persons and groups, authors and articles, organizations and practices), and are thus susceptible to an analysis according to duality principles. The chapter locates the concept of duality within past and present sociology. It also discusses the use of duality in the analysis of culture as well as in affiliation networks. It closes with recent developments and future directions.

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The Oxford Handbook of Social Networks

10.1093/oxfordhb/9780190251765.001.0001 ◽

2020 ◽

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Life ◽

Information Science ◽

Computational Social Science ◽

The Social ◽

Diverse Field ◽

The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

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The switching mechanisms of social network densification

Scientific Reports ◽

10.1038/s41598-021-82432-9 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Teruyoshi Kobayashi ◽

Mathieu Génois

Keyword(s):

Social Networks ◽

Social Network ◽

Social Context ◽

Social Interactions ◽

Regime Switching ◽

Face To Face ◽

The Social ◽

Switching Property ◽

Distinctive Type ◽

Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

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