Structure Of Personal Networks Research Articles

Social networks and stigma: The experiences of African immigrants living with HIV in the United States

Over the past two decades, research on the conceptualization, measurement, and refinement of stigma has grown extensively due to increasing recognition of stigma as a driver of adverse health outcomes. While these lines of research have generally recognized that stigma is enacted in social relationships, few analysts have characterized how the structure and composition of these relationships influence stigma, particularly among immigrant populations. In response, this paper integrates data from social network analysis and in-depth interviews to explore the experiences of and responses to stigma by African immigrants living with HIV in the United States.All participants reported that they anticipated, experienced, and internalized stigma within their personal networks. Many concealed their status and disclosed to only trusted associates, family members, and medical providers. Building on findings from previous studies, we found that the meanings and belief systems (particularly African cultural discourses that link HIV with mortality, immorality, retribution, and silence) matter for how stigma is assigned, enacted, experienced, and resisted. Our analyses also revealed that the structure of participants personal networks (i.e, the extent to which their associates were connected to each other, and how integrated/involved they were in these network relationships) intensified or diluted their exposure to stigmatizing discourses, depending on the composition (resourcefulness/quality) of their personal networks. Such network connections (i.e., social capital) translate into rewards if they are supportive and accepting, and costs if they stigmatize.By showing how individuals can use their social networks to stigmatize or support their peers, this study advances theoretical expositions on (1) how the meanings and belief systems held by individuals matter for understanding social network/structural processes,(2) how social networks shape how stigma is assigned, enacted, experienced and resisted,(3) the costs and downsides of social capital, which are often neglected through emphasis on its salutary impacts. Our findings underscore the need for interventions that leverage the salient properties of personal networks to understand, conceptualize, measure, and reduce stigma.

Multiplicities and fluidity in the networked relationships of migrant academics in Britain

AbstractIncreasing internationalization and marketization of higher education, global research collaboration, and staff mobility place academics' networking practices at the centre of higher education systems. Migrant academics are conceptualized with different network types including personal, local and transnational family and friendship networks. However, this research aims to understand the boundaries between different types of participants' networked relationships. The data of this paper comes from a larger research project on transnational family relationships of migrant academics conducted between 2018 and 2022. Life story interviews with 45 migrant academics from 27 different national backgrounds working at British universities were conducted. Additionally, sociogram maps are used as embedded in qualitative interviews. Migration background (as European or non‐European countries); gender; age; the length of the stay in the UK; academic position/contract type; annual income level and marital/relationship status were considered while forming the sample. The findings reveal that network forms and structures do not determine the resources and benefits of relationships; rather, individuals' actions over a time period and the meanings they attribute shape the positions of an alter (other actors that the focal person have connection with) within the personal network structure. As such, actions and meanings regarding those actions can bring one forward or backward in the personal network hierarchy. The boundaries regarding the content of these networks are usually blurred in relation to time, relationality and human agency attributing specific sets of meanings to certain relationships. The findings of this research translate into specific contributions to the discussions in migration and social network research. That is, research findings emphasized that different types of networks shaping participants' lives and migratory experiences are far from being stable and fixed, rather, they are characterized by being transmissive and dynamic. It is revealed that none of the network categories are homogenous, stable and fixed in terms of the content of the relationships. This adds to Emirbayer and Goodwin's (1994) discussions around the ‘form’ and the ‘content’ of networks. This paper underscores the significance of the historical settings, dynamism and the content of each relationship in understanding individual networks.

Impact of Personal Networks of Ethnic Minority Female Entrepreneurs on Growth Construct: Blend of Egocentric and Narrative Analysis

The paper aims to explore and explain the content and structure of personal networks of immigrant and British-born Pakistani female entrepreneurs for business growth. Pakistani female entrepreneurs represent a distinct segment of ethnic minority entrepreneurs as they represent an interesting blend of socio-economic, religious and socio-cultural traits. This research study underscores the interactional dimension of personal networks and its impact on the growth of their business. It is mainly the contents and interactions within a network that determines the quality of a network and its influence on relevant aspects of network members. In order to explore the meaning and perceptions attached to relationships and their use for entrepreneurial ventures’ growth, an egocentric network analysis is applied to narratives of Pakistani female entrepreneurs (the ego). Narratives were collected through in-depth interviews with ‘name generator’ questions. Egocentric network analysis was carried out using sociograms to explore the formation and nature of network ties. By generating an in depth understanding of the distinctive use of personal networks for growth of business by Pakistani female entrepreneurs the paper provides in depth knowledge and understanding of a particular ethnic minority group that will be of use to business owners (Pakistani female entrepreneurs), academic researchers and policy makers.

Associations between anxiety, depression, and personal mastery in community-dwelling older adults: a network-based analysis

BackgroundIn China, about 18.70% of the population aged 60 years and older are at risk of low personal mastery as well as anxiety and depression for a variety of reasons. The purpose of this study was to construct a symptom network model of the relationship between anxiety, depression, and personal mastery in community-dwelling older adults and to identify central and bridge symptoms in this network.MethodsDepression, anxiety, and personal mastery were measured using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and Personal Mastery Scale (PMS), respectively. A total of 501 older adults in 16 communities in Changzhou and Zhenjiang, Jiangsu Province, China, were surveyed by using a combination of stratified sampling and convenience sampling methods. The R language was used to construct the network.Results(1) The network structure of anxiety–depression–personal mastery was stable, with “Nervousness” (node GAD1, strength = 1.38), “Sad mood” (node PHQ2, strength = 1.22), " Inability to change” (node PMS2, strength = 1.01) and “Involuntarily” (node PMS3, strength = 0.95) as the central symptoms. (2) “Irritability” (node GAD6, bridge strength = 0.743), “Sad mood” (node PHQ2, bridge strength = 0.655), and “Trouble relaxing” (node GAD4, bridge strength = 0.550) were the bridge symptoms connecting anxiety, depressive symptoms, and personal mastery. (3) In the network comparison test (NCT), residence, somatic chronic comorbidity and gender had no significant effect on network structure.ConclusionsThe construction of the anxiety–depression–personal mastery network structure opens up new possibilities for mechanisms of action and intervention formulation for psychological disorders in community-dwelling older adults. The identification of central symptoms (e.g., nervousness, sad mood, inability to change, involuntarily) and bridge symptoms (e.g., irritability, sad mood, trouble relaxing) in community-dwelling older adults with anxiety, depression, and low sense of mastery can provide a scientific basis for the development of precise interventions.

Structure of personal networks and cognitive abilities: A study on a sample of Italian older adults

Research in social gerontology has suggested that structural complexity of personal networks could moderate cognitive decline of older adults. In line with the environmental complexity hypothesis, their cognitive functioning would benefit from a high number of cohesive subgroups in their own personal networks, i.e., various social foci, thanks to higher cognitive stimuli from various social interactions. Yet, past studies considered only compositional diversity of networks due to lack of data on alter–alter ties. To fill this gap, we collected survey ego-network data on frequent social contacts (including alter–alter ties) and cognitive functioning on a sample of individuals aged ≥ 75 in Brescia, Italy (N=230). As a proxy for social foci, we detected cohesive subgroups within each respondent’s personal networks. Results showed a positive association between the number of cohesive subgroups and cognitive functioning, regardless of the network size, while controlling for relevant socio-demographic attributes and depression symptoms. Our findings testify to the importance of granular network data in studying the link between social relationships and cognitive functioning.

Use of a hierarchical deconstruction procedure for the classification of personal networks: Exploring nested groups around you

The deconstruction of personal networks through the iterative elimination of the nodes with the highest betweenness centrality is an effective strategy for describing their structural properties. In this study we show that iterative deconstruction can also serve to classify personal networks into typologies. With longitudinal data from a sample of 69 students, we found that denser networks are more resistant to fragmentation while those organized in defined subgroups usually have a shorter deconstruction process. In addition, the deconstruction strategy allows knowing the hierarchical structure of personal networks, made up of nested subgroups.

Who Gets Help? A National Longitudinal Study of Personal Networks and Pandemic Support Among Older Adults.

ObjectivesPersonal networks provide social support for older adults, perhaps especially during the COVID-19 pandemic when traditional avenues may be disrupted. We provide one of the first population-based studies on how pre-pandemic personal networks predict support during the pandemic among older adults, with attention to gender and race variation.MethodWe analyzed longitudinal data from the National Social Life, Health, and Aging Project Round 3 (2015/16) and COVID-19 Round (2020) (N=2622, 55.68% female, 78.75% white, aged 50-99), a nationally representative survey of community-dwelling older Americans. We considered structure (i.e., size, density) and composition (i.e., proportion female and kin) of pre-pandemic personal networks, estimating multinomial logistic models to predict self-reported need and receipt of instrumental help and emotional support during the pandemic.ResultsLarger pre-pandemic confidant networks predicted higher risk of receiving needed pandemic help and support, higher risk of receiving help and support more often than pre-pandemic, and lower risk of being unable to get help. Denser pre-pandemic networks also predicted higher risk of receiving pandemic help and support. Furthermore, how network size and density related to support differed with respondent race, and a greater proportion of kin in pre-pandemic networks predicted higher risk of receiving help for non-white older adults only.DiscussionOlder adults’ pre-pandemic confidant network structure and composition can provide underlying conditions for receiving pandemic social support. Findings speak to policies and programs that aim to foster social support or identify vulnerable groups that suffer the greatest unmet need for support during a global crisis.

Educational gradients in older adults' personal network size, diversity and social support: a widening gap between haves and have nots across birth cohorts?

AbstractSocietal change related to individualisation has likely made individual resources more important for the maintenance of social ties. This raises the question whether lower-educated adults are more disadvantaged in later-born cohorts in personal network structure and function. Observations are from 4,886 individuals aged 55 and over from the Longitudinal Aging Study Amsterdam (LASA), who are followed over a timespan of a maximum of 24 years between 1992 and 2016. Multi-level regression models are estimated to determine cohort differences. Network size is larger in later-born cohorts, and more so for the higher-educated than for the lower-educated adults. Network diversity increases across birth cohorts irrespective of educational level. Lower- and higher-educated women, and lower-educated men give more instrumental support in later-born cohorts, whereas higher-educated men do not show such a steep increase. More emotional and instrumental support is also received in later-born cohorts irrespective of educational level, but higher-educated adults receive more emotional support in all birth cohorts. Thus, lower-educated older adults are not necessarily worse off socially in later-born cohorts. Instead, they are even more likely to be active givers of support. Also, most of the gains in personal networks of older adults in later-born cohorts are independent of educational level, suggesting that the social landscape for older adults today is much richer.

Beyond Dunbar circles: a continuous description of social relationships and resource allocation

We discuss the structure of human relationship patterns in terms of a new formalism that allows to study resource allocation problems where the cost of the resource may take continuous values. This is in contrast with the main focus of previous studies where relationships were classified in a few, discrete layers (known as Dunbar’s circles) with the cost being the same within each layer. We show that with our continuum approach we can identify a parameter eta that is the equivalent of the ratio of relationships between adjacent circles in the discrete case, with a value eta sim 6. We confirm this prediction using three different datasets coming from phone records, face-to-face contacts, and interactions in Facebook. As the sample size increases, the distributions of estimated parameters smooth around the predicted value of eta . The existence of a characteristic value of the parameter at the population level indicates that the model is capturing a seemingly universal feature on how humans manage relationships. Our analyses also confirm earlier results showing the existence of social signatures arising from having to allocate finite resources into different relationships, and that the structure of online personal networks mirrors those in the off-line world.

Personal Network Bridging Potential Among Rural and Older Populations

Personal social networks play a fundamental role in the daily lives of older adults. Although many studies examine how life course factors and personal preferences shape network formation, fewer consider how the places in which older adults live present opportunities and obstacles to cultivate social relationships. In the present study, we explore how geographic context is associated with the ability to interact with non-overlapping social groups within one’s personal network (i.e., network bridging). This unique network formation offers older adults access to diverse social stimuli, non-redundant information, and social autonomy. By analyzing data from the Person-to-Person Health Interview Survey (N=709), we found that a minority of respondents reported the ability to bridge social groups within their networks. Respondents residing in rural and semi-rural counties engaged in fewer non-overlapping social groups compared to those residing in urban counties. These findings suggest that the communities in which older adults live condition opportunities for accessing unique social resources. Identifying the link between geographic residence and personal network structure has important implications for how individuals navigate the uncertainty and elevated support needs of later life. Additional research adopting a social network perspective is needed to provide insight into geographic health disparities occurring among the older population.

The Structure of Social Support in Confidant Networks: Implications for Depression.

Social support differs for depressed and non-depressed individuals. However, the structural features of social supports, as represented via social networks and how they are related to depression, and its mitigation, are unclear. Here, we examine associations between personal support network structures and self-reports of depression and depression mitigation behaviors. Cross-sectional data were collected from participants (n = 1002 adults) recruited from a research volunteer website. Personal support networks were elicited by asking participants to nominate up to six people (i.e., confidants) that they talk to about interpersonal problems (e.g., unpleasant social encounters) and to indicate who knows whom among their confidants. Results show that the confidant networks of depressed and non-depressed participants did not differ in network size or in constraint—i.e., the degree to which confidants’ ties overlap with the ties of the participant. However, depressed participants’ confidants had significantly fewer average ties with one another (mean degree). Irrespective of depression diagnosis, lower network constraint and size predicted greater engagement in depression mitigation behaviors. That is, having relatively large confidant networks within which one can freely navigate one’s personal information can contribute to improvement in depressive outcomes. Implications are further discussed in the discussion section.

Association of personal network attributes with clean cooking adoption in rural South India

Adoption of liquefied petroleum gas (LPG) is the primary policy approach in India to transition rural poor communities toward clean cooking behavior. Prior clean cooking studies show that affordability, accessibility, and awareness impact LPG adoption in India. There is scarce research that explores the association of personal networks of community members in their LPG adoption. In this cross-sectional study, we use standard egocentric personal network analyses and multivariate logistic regression models to examine the association of structure and composition of personal networks with LPG adoption in poor communities. Our results show that higher proportions of peers owning LPG are associated with higher likelihood of LPG ownership in the respondents (OR = 41.30, 95% confidence interval: 16.86–101.20, p = 0.00). This study on personal network characteristics in clean cooking research offers a germane foundation for further large scale personal network studies on clean cooking adoption in poor communities.

The increasing importance of friends: Changes in core discussion network composition in post-communist Hungary between 1997 – 2015

In order to detect changes in social connectivity, we examined evolutions in the personal network structure by analyzing over-time trends in the composition of the population’s core discussion networks on four cross-sectional, nationally representative surveys between 1997 and 2015, in the era of post-communism, in Hungary. There has been a very significant change; in fact, a reversal of trends regarding the composition of the core discussion networks (CDNs) concerning kin and non-kin ties over the past decades. Our data suggest that friendship ties gained more importance. There seems to be a generation-specific aspect of the change: young people include family ties less often than older people and this effect strengthens over time. Women still have a higher ratio of kin ties compared to men and this effect does not change significantly during the analyzed period.

SOCIAL NETWORK ANALYSIS ON THE MARKETING ASPECT OF VEGETABLE COMMODITIES IN THE KATENZO FARMER GROUP

Low of relations between farmers and the market causes the marketing of vegetable commodities to not run optimally. The relationship between various marketing agencies and farmers produces a social network. Based on this, the social network in the marketing aspect is the main capital for the development of farming. The objectives of this study were (1) to identify the characteristics of farmer members of the Katenzo Farmers Group, (2) to analyze the structure of the social network on the marketing aspects of vegetable commodities in the Katenzo Farmer Group, (3) to analyze the position of actors in social networks on the marketing aspects of vegetable commodities based on the degree of centralism. at the Katenzo Farmers Group. This study used a qualitative research design with a case study approach. Samples were taken using census techniques to all member farmers, amounting to 13 people. The analysis method used is Social Network Analysis (SNA). The results of this study indicate that all respondents are male farmers who are included in the category of young farmers who have an average high school education level and have business experience under 5 years. The network structure that is formed is a personal radius network structure (Radial Personal Network), with the central actor is the Head and Public Relations Division of the Katenzo Farmers Group.

A personal network approach to the study of nurse champions of innovation and their innovation projects' spread.

To develop and test the relationship between nurse champions' personal social networks and innovation success in terms of spread. A cross sectional. Data were collected on 94 nurse champions at three medium-large tertiary medical centres from 2015-2016. Data from champions on their personal network were assessed via a standardized and acceptable three-step network survey. Success in terms of innovation spread was assessed via perceived extent of spread. Network structural and relational characteristics were depicted by level of spread. Multivariate linear regression was used to assess the relationship between network characteristics and innovation spread. Above and beyond various project and network control variables, network density was significantly and positively related to project spread, tie-strength diversity was significantly and negatively related to project spread and difference in ethnic origin between champions and alters was significantly and positively related to project spread. Maximum age of network members was marginally significantly related to project spread. Our findings show that high-density personal social networks; networks where tie strength among network members is similar, thus, creating liking and trust among members; having at least one older network member who might have close access to professional and organizational resources acquired throughout their career; and having ties with network members from different ethnic groups to prevent knowledge stickiness, all promote innovation spread. Champions should be carefully nominated based on their ability to engage network members and to build ties with various network members inside and outside the nursing unit; once selected, champions should be aware of their social networks. The current study explored champions' personal-network structure, composition and variance measures and their implications for innovation project spread. The findings demonstrated that nursing champions' personal social networks matter for innovation spread. This finding has implications for the nominating and the coaching of champions.

Patterns of support and conflict relationships in personal networks and perceived stress

This article investigates the association between personal networks and stress, both positively through support and negatively through conflict. In a representative sample of 755 individuals residing in Switzerland, each individual was asked to name people in their lives who they perceived as very important, as well as to report their mutual support and conflict interactions. First, the article develops and investigates a typology with five relational patterns based on indicators of emotional support and conflict relationships in personal networks. These patterns are the following: bonding social capital, bridging social capital, ego-centered conflict, overload, and ambivalent. Second, it explores the association of these patterns with stress levels that are perceived in various life domains. Results show that individuals involved in relationships that were predominantly supportive had lower levels of stress, whereas individuals experiencing relationships characterized by conflict, or an imbalance in support by giving more than receiving, had higher levels of stress. Finally, ambivalent relationships in which support and conflict were equally present were associated with an intermediate level of stress. These results show the importance of considering support and conflict relationships together in personal network structures.

Tangled Roots: Personal Networks and the Participation of Individuals in an Anti-environmentalism Countermovement

We focus on the personal networks of members of an anti-environmentalism countermovement in a small town in Canada (Port Alberni, B.C.) that mobilized against the environmental movement. Drawing primarily from social survey data, we investigate the effects of network-based mobilization processes, and contending-movement ties (ties to the environmental movement), on level of participation in the countermovement. We add to the literature on networks and social movements, and movement-countermovement dynamics by 1) comparing network processes amongst a counter movement with those amongst a corresponding social movement, and 2) comparing personal network structures and mobilization processes between countermovement members and the general public. We find a similar pattern of network-based micromobilization processes amongst movement and countermovement participant networks. We find both similarities, and key differences between the counter movement and the general public in terms of activism and social network ties. Theoretical predictions have suggested that individuals who have ties to opposing groups will moderate their participation in a social movement. However, in this study of a community countermovement organization in a small town in Canada that mobilized against the provincial environmental movement we find that the number of contending movement ties (the range of ties to environmental organizations) held by individuals in the countermovement has a significant positive association with countermovement activism, and is the strongest statistical predictor of countermovement activism. Drawing upon both theory and substantive information we discuss the implications of this novel finding.

The fractal structure of communities of practice: Implications for business organization.

Communities of practice (COP) are informal (sometimes formal) groupings of professionals with shared interests that form to facilitate the exchange of expertise and shared learning or to function as professional support networks. We analyse a dataset on the size of COPs and show that their distribution has a fractal structure similar to that found in huntergatherer social organisation and the structure of human personal social networks. Small communities up to about 40 in size can be managed democratically, but all larger communities require a leadership team structure. We show that frequency of interaction declines as size increases, as is the case in personal social networks. This suggests that professional work-oriented organisations may be subject to the same kinds of constraint imposed on human social organisation by the social brain. We discuss the implications for business management structure.

Informal Caregiving and Social Capital: A Social Network Perspective.

A large literature emphasizes the importance of social relationships during the caregiving process. Yet these issues are seldom presented in a social network framework that examines the structure of caregivers' personal networks. In this study, I examine how older caregivers experience changes in personal network structure. Using two waves from the National Social Life, Health, and Aging Project, I investigate whether caregivers are more or less likely to exhibit bridging or bonding capital potential compared to noncaregivers. I find that older adults transitioning into caregiving are more likely to develop the ability to bridge social ties within their personal networks than noncaregivers despite potential constraints in their personal freedom. Caregivers in the latter stages, meanwhile, do not differ from noncaregivers in terms of network change. These findings have implications for older adults' potential to pool resources across social domains as well as negotiate stress and well-being during the caregiving process.

The Correlation Internal and Eksternal Characteristics with Communication Networks Self-help Rubber Farmer in Batu Bersurat Village XIII Koto Kampar District

In order to encourage rubber agribusiness activities, farmers need adequate information and reliable sources of information to achieve their goals. To meet information needs, farmers develop communication networks between farmers and their actors. This research aims to describe the sociogram of the communication network of rubber farmers in self-help patterns,and analyze the relationship between farmer characteristics and communication networks.This research conducted in Batu Bersurat Village XIII Koto Kampar District. The method used in this research is the census method and the study respondents were taken as many as 42 farmers. The results of this research indicate that the structure of the communication network formed in rubber farmers approached the radial personal networkstructure .Based on the correlation test results indicate that the characteristics of rubber farmers related to locall centrality are, extent of land tenure, cosmopolity, intensity of counseling, and number of sources of information. Correlation test results indicate that the characteristics of rubber farmers related to globall centrality are level of education, extent of land tenure, cosmopolity, intensity of counseling, and number of sources of information.Correlation test results indicate that the characteristics of rubber farmers related to betwenness are extent of land tenure, cosmopolity, intensity of counseling, and number of sources of information.