Characteristics Of Network Members Research Articles

Expansion and Exploration of the Superdiffuser Model With Agent-Based Modeling

The superdiffuser model predicts that the diffusion of a new behavior can be accelerated if superdiffusers (people who are connectors, persuaders, and mavens) are recruited to promote the behavior. We propose an expanded model where the importance of these traits varies by network structure and other network member characteristics. We assessed the plausibility of these proposed moderators using a simulation of an agent-based model in which each moderator was varied along with the superdiffuser traits of those initially seeded with the behavior. Analysis of the results of those simulations showed support for many, but not all, of the predictions as well as several surprising results that are suggestive for future empirical research.

Advancing the Measurement of Social Functioning in Schizophrenia: Applications of Egocentric Social Network Analysis.

People with schizophrenia face challenges with forming and maintaining social relationships, often resulting in poor social functioning. Commonly used measures of social functioning provide broad information relating to social relationships, but they do not adequately capture information regarding network structure and characteristics of network members. One method that can assess these more detailed aspects of social networks and provide a more comprehensive understanding of social functioning deficits is egocentric social network analysis (SNA). SNA is a scientific discipline that uses principles of network science and graph theory to analyze social relations quantitatively. Even though some types of SNA have been applied in prior schizophrenia studies, its application as a framework to measure social functioning has been extremely limited. Therefore, this article aims to formally introduce SNA and select quantitative SNA metrics, including measures of network composition, structure, homophily, and centrality, to schizophrenia researchers as novel ways of measuring components of social functioning. To demonstrate the application of SNA, we provide illustrative examples of the SNA metrics and graphical diagrams of social networks for two individuals with schizophrenia.

Evidence that specific personal relationships evoke maladaptive personality expression

ABSTRACT Introduction This research applied relational regulation theory (RRT) to maladaptive personality as identified in the DSM-5, dimension trait model. RRT describes how individual social network members help people regulate their own affect, thought and action. Previous research found that people expressed different levels of normal personality dimensions and affect depending upon the network members that people were with or thinking about. Methods College students (N = 719) rated their expression of maladaptive dimensions and affect when with important network members, as well as the interpersonal characteristics of network members. Results People’s maladaptive personality expression was strongly consistent across network members (recipient effects). Yet, personality expression also varied strongly depending upon which network member the recipient was with or thinking about (dyadic effects). PID-5 negative affectivity and PANAS negative affect more strongly reflected dyads than recipients. Antagonism and disinhibition more strongly reflected recipients than dyads. Network members who evoked maladaptive expressions were seen by recipients as unsupportive, unresponsive, as evoking conflict, attachment avoidance and attachment anxiety. However, the interpersonal constructs were mostly redundant in predicting maladaptive personality. Findings were replicated across random subsamples and gender. Conclusion The findings provide evidence that important personal relationships can evoke the expression of maladaptive personality.

Characteristics of Individuals Seen as Sources of Social Support in Populations at Increased Risk for HIV.

Access to social support from one's social network can serve as a protective factor against HIV infection; however, research exploring the availability of support in diverse populations that include high proportions of people at increased risk for HIV and the characteristics of network members associated with access to such support is limited. Multi-level dyadic analyses of social network data collected from women at risk for HIV and their network members reveal which individual and relationship characteristics of network members are associated with providing emotional, material, and/or health informational support. Results indicate that access to all three types of support was associated with a network member being a friend, a member of a participant's 'core' group, someone whose opinion matters to the respondent, and the respondent trusting them. These findings have implications for interventions designed to increase access to support among individuals at risk for HIV.

The role of social networks in the self-management support foryoung women recently diagnosed with breast cancer.

It is widely acknowledged that social network support plays an important role in the quality of life and illness management of breast cancer survivors. However, the factors and processes that enable and sustain such support are less well understood. This paper reports baseline findings from a prospective UK national cohort of 1,202 women with breast cancer (aged <50 years at diagnosis), recruited before starting treatment, conducted in 2016-2019. Descriptive, univariate and multivariate regression analyses explored associations between the individual, and network member characteristics, and the type of support provided. Social network members provided a substantial level of illness-related, practical and emotional support. Highest contribution was provided by friends, followed by close family members. The social network members of women who did not have a partner provided a higher level of support than those in networks with a partner. Women without higher education were more reliant on close family members than those with higher education, and this was more so for women without a partner. Women with higher education without a partner were more reliant on friends and were overall best supported. Women without higher education who did not have a partner were overall least well supported. They had much smaller networks, were highly reliant on close family members, and on high level contributions from all network members. There is a need to develop network-based interventions to support people with a cancer diagnosis, prioritising support for the groups identified as most at risk. Interventions that support engagement with existing network members during treatment, and those that help extend such networks after treatment, are likely to be of benefit. A network perspective can help to develop tailored support and interventions by recognising the interactions between network and individual level processes.

Social support abroad: How do self-initiated expatriates gain support through their social networks?

On arrival, expatriates need to establish new social ties in order to succeed in the host country. In this study, we are investigating the social networks of self-initiated expatriates, focusing on the process of how they source social support. Building on information seeking theory, we have created a model connecting specific characteristics of network members (host country knowledge, employment status and host country origin) with the frequency of contact and support they provide. The model was tested through multilevel mediation analysis on 165 expatriates and their 575 network members. We contribute to the existing knowledge on expatriate networks by a theoretically driven categorization of network members and a detailed empirical analysis on the level of a relationship/tie. Our results show that expatriates rely on different network members for different types of support. Practical implications include the use of mentors to facilitate expatriate access to higher status individuals who can offer important support.

Sexual health norms and communication patterns within the close social networks of men who have sex with men and transgender women in Lima, Peru: a 2017 cross-sectional study

BackgroundSocial networks, norms, and discussions about sexual health may inform sexual practices, influencing risk of human immunodeficiency virus (HIV) or sexually transmitted infection (STI) acquisition. To better understand social networks of Peruvian men who have sex with men (MSM) and transgender women (trans women), we examined key social network members (SNMs), participant perceptions of these network members’ opinions toward sexual health behaviors, and associations between network member characteristics and condomless anal intercourse (CAI).MethodsIn a 2017 cross-sectional study, a convenience sample of 565 MSM and trans women with HIV-negative or unknown serostatus was asked to identify three close SNMs; describe discussions about HIV and STI prevention with each; and report perceived opinions of condom use, HIV/STI testing, and partner notification of STIs. Generalized estimating equations evaluated relationships between SNM characteristics, opinions, and discussions and participant-reported CAI.ResultsAmong participants who identified as MSM, 42.3% of key SNMs were perceived to identify as gay. MSM “never” discussed HIV and STI prevention concerns with 42.4% of heterosexual SNMs, but discussed them “at least once weekly” with 16.9 and 16.6% of gay- and bisexual- identifying SNMs, respectively. Among participants who identified as trans women, 28.2% of key SNMs were perceived as heterosexual; 25.9%, as bisexual; 24.7%, as transgender; and 21.2%, as gay. Trans women discussed HIV/STI prevention least with cis-gender heterosexual network members (40.2% “never”) and most with transgender network members (27.1% “at least once weekly”). Participants perceived most of their close social network to be completely in favor of condom use (71.2% MSM SNMs, 61.5% trans women SNMs) and HIV/STI testing (73.1% MSM SNMs, 75.6% trans women SNMs), but described less support for partner STI notification (33.4% MSM SNMs, 37.4% trans women SNMs). Most participants reported CAI with at least one of their past three sexual partners (77.5% MSM, 62.8% trans women). SNM characteristics were not significantly associated with participant-reported frequency of CAI.ConclusionsFindings compare social support, perceived social norms, and discussion patterns of Peruvian MSM and trans women, offering insight into social contexts and sexual behaviors.Trial registrationThe parent study from which this analysis was derived was registered at ClinicalTrials.gov (Identifier: NCT03010020) on January 4, 2017.

Network Characteristics Associated with HIV Testing Conversations Among Transgender Women in Los Angeles County, California.

This study examined associations between transgender women's social network characteristics, perceived network member HIV risk/protective behaviors and HIV testing conversations between transgender women and their network members. From July 2015 to September 2016, 264 transgender women who nominated 2529 social network members completed surveys on sociodemographic characteristics, HIV risk/protective behaviors, and egocentric social networks. Mixed-effects logistic regression evaluated discussion of HIV testing with network member characteristics and perceived HIV risk/protective behaviors. HIV testing conversations were positively associated with being named as a trans "mother" (aOR 2.05; 95% CI 1.03-4.06) relationships of longer duration, and the following network member characteristics: perception as a confidant (3.09; 1.89-5.05), discussion of condom use (29.65; 16.75-52.49), knowledge of HIV pre-exposure prophylaxis (4.14; 2.11-8.15), and receipt of HIV testing (22.13; 11.47-42.69). HIV testing conversations were negatively associated with relationships where stimulants were used (aOR 0.32; 95% CI 0.12-0.84). These results indicate the importance of leveraging close relationship networks to increase HIV testing and the potential role for network-based HIV prevention strategies among transgender women.

Social Network Change after Moving into Permanent Supportive Housing: Who Stays and Who Goes?

Social relationships are important among persons experiencing homelessness, but there is little research on changes in social networks among persons moving into permanent supportive housing (PSH). Using data collected as part of a longitudinal study of 405 adults (aged 39+) moving into PSH, this study describes network upheaval during this critical time of transition. Interviews conducted prior to and after three months of living in PSH assessed individual-level characteristics (demographics, homelessness history, health and mental health) and included a social network component that assessed network size and composition (demographics, relationship type, social support); interviewers utilized network member characteristics to assess whether network members were new or sustained between baseline and 3 months post-housing. Multilevel logistic regression models assessed what characteristics of network members were associated with being newly-gained or persisting in networks 3 months after moving into PSH. We found that only one-third of social networks were retained during the transition to PSH, and that veterans, African Americans and other persons of racial/ethnic minorities, and those living in scattered-site housing were more likely to experience network disruption. Relatives, romantic partners, and service providers were most likely to be retained after move-in. Some network change was moderated by tie strength, including the retention of street-met persons. Implications are discussed.

Individual and network factors associated with HCV treatment uptake among people who inject drugs

BackgroundHepatitis C virus (HCV) treatment uptake among people who inject drugs (PWID), a population with disproportionately high rates of HCV, remains low. Peers have been shown to positively impact a broad range of health outcomes for PWID. There is, however, limited data on the impact of PWID social network members on HCV treatment. MethodsHCV-infected PWID enrolled in an ongoing community-based cohort were recruited as “indexes” to complete an egocentric social network survey. The survey elicited from the index PWID a list of their network members and the index's perception of network member characteristics. Logistic regression analyses were conducted to compare individual and network factors associated with HCV treatment in the index PWID. ResultsAmong 540 HCV-infected PWID, the mean age was 55.7 years and the majority were black (87.2%) and male (69.8%). PWID reported a mean of 4.4 (standard deviation [SD] 3.2) network members, most of whom were relatives (mean 2.2 [SD 1.5]). In multivariable analysis, increasing index age and HIV infection were positively associated with HCV treatment, while drug use and homelessness in the preceding 6 months were negatively associated with HCV treatment. From a network perspective, having at least one network member who regularly talked with the index about seeing their doctor for HIV care was associated with HCV treatment (Adjusted Odds Ratio [AOR] 2.7; 95% Confidence Interval (CI) [1.3, 5.6]). Conversely, PWID who had at least one network member who helped them understand their HCV care were less likely to have been HCV treated (AOR 0.2; CI [0.1, 0.6). ConclusionHCV treatment uptake in this group of PWID appeared to be positively influenced by discussions with network members living with HIV who were in care and negatively influenced by HCV information sharing within PWID networks. These findings underscore the influence of peers on health seeking behaviors of their network members and emphasizes the importance of well-informed peers.

Support Network Factors Associated With Naming a Health Care Decision-Maker and Talking About Advance Care Planning Among People Living With HIV

ContextLittle attention has been given to social environmental factors associated with advance care planning (ACP) among African Americans or people living with advanced HIV (PLHIV). ObjectivesThe present study aimed to identify support network factors that affect the likelihood of naming a decision-maker and of talking to family/friends and doctors about ACP among vulnerable PLHIV. MethodsPLHIV were recruited from a large urban HIV clinic. A social support network inventory was used to calculate number of persons available for various types of support. Characteristics of network members were also collected. Multivariable logistic regression models were fit to examine associations between social network factors and ACP discussion, adjusting for age, sex, education, and total number of network members. ResultsThe sample (N = 370) was mostly African American (95%), male (56%), and 48% had less than a high school education. Almost half the sample (48%) had talked to their family/friends or doctor about ACP, and 34% had named a medical decision-maker. Adjusted analysis revealed that talking about ACP with family/friends was associated with female sex and a larger closer support network who provided health information and physical assistance. Talking to doctors about ACP was associated with larger support networks who provided physical assistance but lower numbers from whom emotional support was received. Naming a decision-maker was associated with greater numbers of network members who provided emotional support, health information, and medication adherence reminders. ConclusionThe findings revealed aspects of family/support network structures and caregiving function associated with ACP in a population with often vital yet vulnerable networks.

Neighbourhoods, networks and pre-exposure prophylaxis awareness: a multilevel analysis of a sample of young black men who have sex with men

ObjectiveYoung black men who have sex with men (YBMSM) in the USA represent a subgroup that has the highest HIV incidence among the overall population. In the USA, pre-exposure prophylaxis...

Help or Hindrance: Female Probationers’ Navigation of Supervision Requirements Through Personal Support Networks

This study integrates egocentric social network analysis techniques and qualitative methods to examine (a) the characteristics of female offenders’ semiregular interaction partners and their provision of resources, (b) the relationship and key resources provided by the “most helpful” and “least helpful” network member, and (c) the characteristics of network members that offenders identify as having negative influence on them. In-person interviews were conducted with 41 female felons who provided information on 436 network members. Findings from the network data suggest that, on average, women possess 10 semiregular interaction partners, networks have a heavy concentration of substance users, and less than half of the network members provide any form of helpful supervision-related resources to the participants. Findings from the qualitative component of the research highlight the helpfulness of networks members who provided transportation, financial assistance, and emotional support. Helpful network members tended to be older, employed, more educated, and closer geographically.

A model for investigating the stability factors in formal science and technology collaborative networks: A case study of Iran

In spite of vast studies performed on Science and Technology Collaborative Networks (STCNs) in recent decades, factors affecting the stability of these networks have rarely been investigated. In this study, 6 collaborative networks established between 1995 and 2005 in Iran, in the fields of nanotechnology, biotechnology, molecular medicine and herbal medicine, were evaluated. Conducting a qualitative research, and using multiple-case study method, we collected related data adequately from in-depth interviews with key informants, survey, and archived documents, and identified the stability factors of STCNs. In this paper, a tentative conceptual model is proposed for classification of stability factors in formal STCNs. Employing this model, 27 identified and screened stability factors were classified into 2 main categories; including internal factors (network management, network formation processes, collaboration mechanisms in the network and characteristics of network members) and external factors (collaboration infrastructures and network environment). Designed model was evaluated by conducting an extensive survey which provides feedbacks from the representatives of network members and other informed people on the primary model. In total, 112 individuals from 83 affiliated organizations of 6 selected networks participated in this survey. Confirmatory factor analysis (CFA) method was used to evaluate the goodness of fit of the proposed model which indicated that each structural component of the model has suitable fit, separately. In addition, the whole model offers a good fitting and it can be reliably used to achieve the research goal only by omitting two of considered factors.

Social network characteristics associated with weight loss among black and hispanic adults.

ObjectiveTo examine social network member characteristics associated with weight loss.MethodsCross-sectional examination of egocentric network data from 245 Black and Hispanic adults with BMI ≥ 25 kg/m2 enrolled in a small change weight loss study. The relationship between weight loss at 12 months and characteristics of helpful and harmful network members (relationship, contact frequency, living proximity and body size) were examined.ResultsThere were 2,571 network members identified. Mean weight loss was -4.8 (±11.3) lbs. among participants with network help and no harm with eating goals vs. +3.4 (±7.8) lbs. among participants with network harm alone. In a multivariable regression model, greater weight loss was associated with help from a child with eating goals (p=.0002) and coworker help with physical activity (p=.01). Weight gain was associated with having network members with obesity living in the home (p=.048) and increased network size (p=.002).ConclusionsThere was greater weight loss among participants with support from children and coworkers. Weight gain was associated with harmful network behaviors and having network members with obesity in the home. Incorporating child and co-worker support, and evaluating network harm and the body size of network members should be considered in future weight loss interventions.

Collaborative Performance as a Function of Network Members’ Perceptions of Success

:Interorganizational networks are a common collaborative approach to tackle complex issues such as public health, national security, education, and poverty. While there is a consensus that networks are a viable approach to these issues, it is unclear what factors lead to effective collaborative performance. One issue for assessing performance is the lack of sufficient evaluation/assessment methods and, subsequently, of empirical data. Applying a conceptual model based in the literature, this study examines characteristics of network members and their perceptions of success in order to ascertain the degree to which members’ agreement on outcomes varies among networks and the characteristics of members of networks that report greater levels of success or of disagreement about success. This study contributes to the collaborative performance literature by analyzing an unprecedentedly large N (n = 98) dataset of interorganizational (whole) networks to test empirically the conceptual model. The results show that higher trust and greater resource contributions predicted higher levels of perceived success among members of a network. A second model, with disagreement about success as the dependent variable, more resources, and higher amounts of diversity, predicted higher levels of disagreement about success. We conclude that the literature on interorganizational networks overemphasizes the benefits of network diversity, and that diversity may, in fact, hinder perceptions of success.

Whom Should I Keep Close with for My Creativity?An Understanding of Component Embeddedness

We develop a component embeddedness perspective on the relationship between the interaction of conduct and network structural properties, and employee creativity. We argue that the value of social network depends on not only the network structural patterns, but also the characteristics of network members. We propose that tie strength (strong ties and weak ties) between focal actor and alters and the learning activities (exploration and exploitation) of these alters will jointly affect focal actor's creativity. We further investigate the conditional factor of bringing ties. By doing so, we integrate component embeddedness (nodal level), relational embeddedness (dyadic level) and structural embeddedness (whole network level) to explain the relationship between social network and creativity.

Social networks and health among older adults in Lebanon: the mediating role of support and trust.

Despite a growing body of literature documenting the influence of social networks on health, less is known in other parts of the world. The current study investigates this link by clustering characteristics of network members nominated by older adults in Lebanon. We then identify the degree to which various types of people exist within the networks. This study further examines how network composition as measured by the proportion of each type (i.e., type proportions) is related to health; and the mediating role of positive support and trust in this process. Data are from the Family Ties and Aging Study (2009). Respondents aged ≥60 were selected (N = 195) for analysis. Three types of people within the networks were identified: Geographically Distant Male Youth, Geographically Close/Emotionally Distant Family, and Close Family. Having more Geographically Distant Male Youth in one's network was associated with health limitations, whereas more Close Family was associated with no health limitations. Positive support mediated the link between type proportions and health limitations, whereas trust mediated the link between type proportions and depressive symptoms. Results document links between the social networks and health of older adults in Lebanon within the context of ongoing demographic transitions.

Social Networks, the ‘Work’ and Work Force of Chronic Illness Self-Management: A Survey Analysis of Personal Communities

Self-management support forms a central aspect of chronic Illness management nationally and globally. Evidence for the success of self-management support has mainly focussed on individually-centred outcomes of behavioural change. While it is recognised that social network members play an important role there is currently a gap in knowledge regarding who provides what type of support and under what circumstances. This is relevant for understanding the division of labour and the meeting of needs for those living with a long-term condition. We therefore took a network approach to explore self-management support conceptualising it as types of illness ‘work’ undertaken within peoples’ social networks. 300 people from deprived areas and with chronic illnesses took part in a survey conducted in 2010 in the North West of England. A concentric circles diagram was used as a research tool with which participants identified 2,544 network members who contributed to illness management. The results provide an articulation of how social network members are substantially involved in illness management. Whilst partners and close family make the highest contributions there is evidence of inputs from a wide range of relationships. Network member characteristics (type of relationship, proximity, frequency of contact) impact on the amount of illness work undertaken in peoples’ networks. In networks with ‘no partner’ other people tend to contribute more in the way of illness related work than in networks with a partner. This indicates a degree of substitutability between differently constituted networks, and that the level and type of input by different members of a network might change according to circumstances. A network perspective offers an opportunity to redress the balance of an exclusively individual focus on self-management because it addresses the broader set of contributions and resources available to people in need of chronic illness management and support.

Social networks of substance users with HIV infection: application of the Norbeck Social Support Scale.

The role of social support networks in medication adherence among HIV-infected substance users remains understudied. In this secondary data analysis, the authors sought to determine the relationship between social support networks and antiretroviral adherence among HIV-infected substance abusers receiving methadone. They analyzed data collected in a 24-week study of 76 methadone-maintained, HIV-infected substance abusers randomized to directly observed antiretroviral therapy or treatment as usual. The authors used logistic regression to examine the relationship between social support networks and self-reported antiretroviral adherence. Their results showed that study participants had an average of 1.36 social network members (SD = 1.4); 34% of participants had at least one drug user and 25% had at least one HIV-infected person in their network. The presence of network drug users and HIV-infected network members was associated with less antiretroviral medication adherence (p < .05). The authors conclude that both social network density and characteristics of network members have implications for medication adherence.