scholarly journals A Dyadic View on the Post-separation Network of Single Mothers

2021 ◽  
Vol 7 (3) ◽  
pp. 72-96
Author(s):  
Dimitri Mortelmans ◽  
Wendy Verheyen
Keyword(s):  
Social Networks ◽  
Single Mothers ◽  
Empirical Studies ◽  
Coping Resources ◽  
Daily Activities ◽  
Support Network ◽  
Network Member ◽  
The Social ◽  
Quantitative Changes ◽  
Insight Into

Many empirical studies have focused on the quantitative changes in the social networks of divorced and separated people. In this qualitative study, we use interviews with dyads to construct a two-sided view of the support network after separation. The aim of the study is to gain insight into the needs for support after a relational breakup. Including a network member in the analysis enables a more detailed view on the interaction at hand in the bond between these women and their supportive network members. The results show that personal coping resources are left untouched. Giving advice on ones daily activities is counter-productive. This is better understood by non family members compared to the women’s parents (especially the mother). With respect to the reciprocity in these relationships, network members do not expect a return in the period after the separation.

scholarly journals The switching mechanisms of social network densification

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.

scholarly journals The Social Networks and Social Support of Siblings of Children with Cancer

Children ◽  
2022 ◽  
Vol 9 (1) ◽  
pp. 113
Author(s):  
Sarah E. Wawrzynski ◽  
Melissa A. Alderfer ◽  
Whitney Kvistad ◽  
Lauri Linder ◽  
Maija Reblin ◽  
...  
Keyword(s):  
Social Networks ◽  
Network Size ◽  
Support Networks ◽  
Support Network ◽  
Structured Interviews ◽  
Children With Cancer ◽  
Network Characteristics ◽  
The Social ◽  
Need Support ◽  
Sources Of Support

Siblings of children with cancer need support to ameliorate the challenges they encounter; however, little is known about what types and sources of support exist for siblings. This study addresses this gap in our understanding of the social networks and sources of support for adolescents with a brother or sister who has cancer. Additionally, we describe how the support siblings receive addresses what they feel are the hardest aspects of being a sibling of a child with cancer. During semi-structured interviews, siblings (ages 12–17) constructed ecomaps describing their support networks. Data were coded for support type (emotional, instrumental, informational, validation, companionship) and support provider (e.g., mother, teacher, friend). Network characteristics and patterns of support were explored. Support network size ranged from 3 to 10 individuals (M = 6 ± 1.9); siblings most frequently reported mothers as sources of support (n = 22, 91.7%), followed by fathers (n = 19, 79.2%), close friends (n = 19, 79.2%) and siblings (with or without cancer) (n = 17, 70.8%). Friends and brothers or sisters most often provided validation and companionship while instrumental and informational supports came from parents. This study provides foundational knowledge about siblings’ support networks, which can be utilized to design interventions that improve support for siblings of children with cancer.

scholarly journals Analysis of User Social Support Network in Online Tumor Community

2020 ◽  
Vol 5 (1) ◽  
pp. 184-194
Author(s):  
Hui Lin ◽  
Shijuan Li
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Network Analysis ◽  
Personal Information ◽  
Internet Technology ◽  
Support Network ◽  
Social Support Network ◽  
Information Behaviors ◽  
The Social ◽  
Professional Health

AbstractWith the development of Internet technology, online health forums have become indispensable for people who seek non-professional health support. This research focuses on the content posted by cancer patients and their relatives in online health forums and social networks to raise the following research questions: What is the overall view of the social support network in the online tumor community? What are the information behaviors of the online tumor community in different identities of users? How users interact in this community and build this network of social support? What are the topics users would like to share and talk about? What kinds of users could be the key users in this community? Method: Using the post and comment data of the Oncology Forum of Tianya Hospital in 2019, combined with social network analysis and word co-occurrence network analysis, the following conclusions are obtained: (1) There are some central points in the overall social support network, and there are central users consistent with other social networks. (2) Positive users are more likely to comment on others, and it is easier to get others’ comments, while negative users are more likely to share personal information and do not want to participate more in social interaction. (3) Users focus on posting emotional and emotional content in content sharing. Information-based social support information. The social support experience that this type of information brings to users can be positive and negative. (4) The most active group in the patients’ online health community, followed by the patients’ children. (5) The relationship between users and patients is diverse and there are two types of singularity. Users with diverse relationships are more likely to be commented on, and they are more willing to comment on users who also have diverse relationships.

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).

scholarly journals Press X Governement

2021 ◽  
Vol 17 (3) ◽  
pp. 562-595
Author(s):  
Carla Montuori Fernandes ◽  
Luiz Ademir de Oliveira ◽  
Mayra Regina Coimbra ◽  
Mariane Motta de Campos
Keyword(s):  
Social Networks ◽  
Content Analysis ◽  
Social Network ◽  
Support Network ◽  
Redes Sociales ◽  
Health Crisis ◽  
The Social ◽  
The Press ◽  
La Red ◽  
Analysis Of Social Networks

ABSTRACT – This paper begins with a discussion of the concept of populism in order to analyze how Jair Bolsonaro’s criticisms of the press circulated on the social network Twitter at a time when Brazil had recorded the highest number of covid-related deaths, in the first week of March 2021. This paper presupposes that the president’s support network incorporated the populist binary rhetoric of “us” against a “corrupt elite” which is responsible for conspiring and amplifying the effects of the health crisis in the country. As a methodology, we opted for a mixed proposal based on content analysis and analysis of social networks. As a result, we found that the tweets from Bolsonaro supporters claim that the press is corrupt, and manipulates and harasses the president in its coverage of the pandemic. RESUMO – O artigo parte da discussão do conceito de populismo, com o objetivo de analisar como as críticas de Jair Bolsonaro à imprensa circularam na rede social Twitter no momento em que o Brasil atingia o maior número de mortos pela covid-19, na primeira semana de março de 2021. O texto traz como hipótese que a rede de apoio ao presidente incorporou a retórica binarista do “nós” contra uma “elite corrupta” que é responsável por conspirar e ampliar os efeitos da crise sanitária no país. Como metodologia, optou-se por uma proposta mista ancorada na análise de redes sociais e análise de conteúdo. Como resultado, constatou-se que os tweets dos apoiadores de Bolsonaro associaram a imprensa atributos de corrupção, manipulação e perseguição ao líder na cobertura contra uma “elite corrupta” e atribuiu a imprensa o caráter dos efeitos da pandemia. RESUMEN - Artículo de la discusión del concepto de populismo, con el fin de analizar cómo circularon en la red social Twitter el comunicado de prensa de Jair Bolsonaro al equipo cuando Brasil alcanzó el mayor número de muertes por covid-19, en la primera semana de marzo de 2021. El texto plantea la hipótesis de que la red de apoyo al presidente incorporó la retórica del binarismo populista del “nosotros” frente a una “élite corrupta” y atribuyó a la prensa el carácter de enemigo del gobierno, responsable de conspirar y amplificar los efectos de la salud en el pais. Como metodología, optamos por una propuesta mixta anclada en el análisis de redes sociales y análisis de contenido. Como resultado, se encontró que los tuits de simpatizantes de Bolsonaro asociaron a la prensa con atributos de corrupción, manipulación y acoso al líder para cubrir los efectos de la pandemia.

scholarly journals Conceptualising, Operationalising, and Measuring Trust in Participatory Health Research Networks: a Scoping Review

2020 ◽  
Author(s):  
Meghan Gilfoyle ◽  
Anne MacFarlane ◽  
Jon Salsberg
Keyword(s):  
Social Networks ◽  
Scoping Review ◽  
Community Based Participatory Research ◽  
Cochrane Library ◽  
Future Research ◽  
Community Based ◽  
Research Partnerships ◽  
Participatory Health Research ◽  
The Social ◽  
Insight Into

Abstract BackgroundThere are many described benefits of community-based participatory research (CBPR), such as increased relevance of research for those who must act on its findings. This has prompted researchers to better understand how CBPR functions to achieve these benefits through building sustainable research partnerships. Several studies have identified ‘trust’ as a key mechanism to achieve sustainable partnerships, which themselves constitute social networks. Although existing literature discuss trust and CBPR, or trust and social networks, preliminary searches reveal that none link all three concepts of trust, CBPR and social networks. Thus, we present our scoping review to systematically review and synthesize the literature exploring how trust is conceptualised, operationalised, and measured in CBPR and social networks.MethodsThis review follows guidelines from Levac et al, which follow the methodological framework of Arksey and O’Malley. We explored several electronic databases including Scopus, Medline, PubMed, Web of Science, CINAHL, Cochrane Library, Google Scholar, and PsychINFO. A search strategy was identified and agreed upon by the team in conjunction with a research librarian. Two independent reviewers screened articles by title and abstract, then by full-text based on pre-determined exclusion/inclusion criteria. A third reviewer arbitrated discrepancies regarding inclusions/exclusions. A thematic analysis was then conducted to identify relevant themes and sub-themes.Results Based on the 26 extracted references, several key themes and sub-themes were identified which highlighted the complexity and multidimensionality of trust as a concept. Our analysis revealed an additional emergent category that highlighted another important dimension of trust – outcomes pertaining to trust. Further, variation within how the studies conceptualised, operationalised, and measured trust was illuminated. Finally, the multidimensionality of trust provided important insight into how trust operates as a context, mechanism and outcome.ConclusionsFindings provide support for future research to incorporate trust as a lens to explore the social-relational aspects of partnerships and the scope to develop interventions to support trust in partnerships.

Relationships between the Social Networks of Swedish Mothers and Their Children

1985 ◽  
Vol 8 (2) ◽  
pp. 195-216 ◽  
Author(s):  
Anne Marie Tietjen
Keyword(s):  
Social Networks ◽  
Marital Status ◽  
Single Mothers ◽  
Social Relations ◽  
Secure Base ◽  
Significant Relationships ◽  
The Social ◽  
Married Mothers ◽  
The Relationship ◽  
Networks Of Support

In a sample of seventy-two Swedish mothers and their children, significant relationships between characteristics of mothers' social networks and those of their children were found. The nature and strength of the relationship varied with the marital status of the mother and the sex of the child. The greatest similarity, or isomorphism, was found between the networks of married mothers and their daughters. The greatest dissimilarity was found between single mothers and their sons. The findings suggest that the nature and degree of mothers' involvement in their own networks of support and exchange may have both facilitative and inhibitive influences on the social relations of their children. Processes suggested by the data by which mothers' network involvement may influence their children's networks include modelling, teaching, sanctioning, providing opportunities, and providing a secure base.

scholarly journals Archetypal Dominant in the Ukrainian Sector of Social Networks

2020 ◽  
Vol 12 (2) ◽  
pp. 15-21
Author(s):  
Tatyana Khraban
Keyword(s):  
Social Networks ◽  
Personal Experience ◽  
Role Model ◽  
Life Story ◽  
Interpretive Analysis ◽  
The People ◽  
The Social ◽  
Study Results ◽  
The Media ◽  
Insight Into

The aim of the article is to analyze which archetypes are dominant in the personality, activities, objectives, self-concept of users of the Ukrainian sector of social networks and project as a manifestation of users’ personal preferences and resonance in the posts on the social network Facebook. Materials and methods. Insight into phenomenon of identity has been carried out in the media-centered approach to understanding the personality. The essence of this approach based on psychoanalytic theory and extends to modern ideas about oneself and the people which a person encounters throughout his life. In this study the method of contextual and intuitive-logical interpretive analysis was used in order to identify the meanings of publications (aphorisms and quotations) based on personal experience and logical thinking. Content analysis was used to separate certain patterns into thematic groups, which made it possible to identify the dominant archetypes in publications. The posts (aphorisms and quotes) posted on the users’ pages in the Ukrainian sector of social networks (780 units) provided inputs for the study. Results and discussions. Since archetypes are characteristic characters and plot elements, often represent key roles in life-story narratives with familiar and consistent traits, archetypal figures have become prototypes for a universal role model. Quotes and aphorisms are very common incentives for discussion on social networks. Personal preferences in this area are enough indicative to provide a complete picture of the issues of concern. Conclusions. The most common archetypes in the Ukrainian sector of social networks are “Sage”, “Ruler”, “Innocent”, “Everyman”, “Wizard”. The share of these five archetypes is 73%. The fact that the share of the three archetypes “Sage”, “Innocent”, “Explorer” reaches 42%, indicates the prevalence of the strategy of individualism in social networks. The main characteristics of people using these three archetypes to build their identity are spiritual search, reflections on the world and their place in it, endless doubts about themselves, about the correctness/incorrectness of their choices, the desire to be a bright individual and to choose their own path. The full development of the personality and the realization individual’s intentions as an end in themselves become a prerogative. Taking into account these circumstances, as well as the fact that social networks users are united in communities of interest, we can conclude there is a tendency in the development of constructive individualism in social networks – individuals consciously unite into groups to achieve their own goals and organize their lives.

scholarly journals Social Networks and E-Loyalty: A New Means of Sports Training during COVID-19 Quarantines

2021 ◽  
Vol 16 (7) ◽  
pp. 2808-2823
Author(s):  
Jose Andres Areiza-Padilla ◽  
Tatiana Galindo-Becerra ◽  
Maria Camila Del Río
Keyword(s):  
Social Networks ◽  
Physical Exercise ◽  
Daily Activities ◽  
Sports Training ◽  
Economic Sectors ◽  
The Social ◽  
New Form ◽  
At Home

Globally, governments implemented several quarantine periods to attempt to slow the spread of the COVID-19 virus. As a result, people were unable to carry out their daily activities in person, and many began to undertake activities online. Gyms and sports schools were among the economic sectors that were required to physically close their operations at the beginning of these quarantines. Thus, many people stopped exercising and turned to social networks as a form of entertainment. The aim of this study was to demonstrate how consumers found a new form of entertainment in the social networks of gyms and sports schools, which allowed them to be entertained and perform physical exercise at home. In this manner, consumers generated an e-loyalty towards the social networks of the gyms that they previously frequented physically. Thus, based on the e-loyalty of their social networks, gyms were able to identify a mechanism that enabled them to approach their consumers and continue offering a variety of products and services online, taking into account the context of COVID-19.

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