Core Social Network Research Articles

Core social network size is associated with physical activity participation for fitness app users: The role of social comparison and social support

The present study aimed to examine the effects of social networking functions of fitness apps on users' physical activity participation. Drawing on the input-mechanism-output framework in mHealth, tthis study connected the functions of a Chinese fitness app (WeRun) to users' step counts tracked by the app and examined the psychological mechanisms underlying the processes. Through a cross-sectional survey of WeRun users (N = 643), we found that the frequency of checking WeRun as well as users’ core network size (i.e., the number of friends followed on WeRun) positively correlated with physical activity participation. Social comparison mechanisms were explanatory of physical activity participation, but social support was not. Specifically, upward comparison was positively associated, and downward comparison was negatively associated with physical activity participation. Upward comparison also mediated the relationships between the two user-app inputs (i.e., frequency of checking and core network size) and physical activity participation. These findings reveal the theoretical mechanisms of fitness app functions and provide valuable insights for mHealth design.

Loneliness and Isolation as Barriers to Mental Health Services in a Rural Community

As America grapples with COVID-19, issues regarding mental health have been of rising concern, particularly among those who are isolated. According to the May 2021 American Perspectives Survey, “Americans report having fewer close friendships than they once did, talking to their friends less often, and relying less on their friends for personal support1.” Additionally, 49% have three or fewer close friends in 2021, compared to 27% in 1990. 17% have no friends in their core social network. Loneliness has been associated with physical and mental health risks. We sought to explore whether loneliness was also a barrier to seeking mental health services. 90 surveys were collected from rural New York. Respondents were aged 51 to 90, Caucasian (96.6%), and female (73.3% vs, 26.7%). Overall, 34.8% said they lived alone. 29.2% would seek mental health services for feelings of loneliness, while 75.4% would do so if isolated from family. Those who felt detached or isolated from others were significantly less likely to seek help from a counselor (r = - 0.25) or MD (r = - 0.37). Isolation also negatively related to measures on the resiliency scale (Purpose: - 0.22, Perseverance: - 0.33, being ok alone: - 0.32), and positively related to depression (r = .65). Those scoring higher on the “okay with being alone” scale had an increased likelihood of seeking counseling (r = 0.22). Thus, isolation and loneliness are complex topics. Intervention ought to be based on perceptions of being alone. Further research is needed.

Social networks and neural receptivity to persuasive health messages.

Health-related norms in social networks can influence whether people are open to health behavior change. Yet, little is known about how social networks relate to the ways individual brains respond to persuasive health messaging. The current study focuses on ventromedial prefrontal cortex (VMPFC) activity as an index of neural receptivity to health messages that may be related to behavior change. The study tested whether health-related norms and perceived physical activity levels within participants' social networks are associated with neural receptivity to health messages. Adults who initially reported under 200 minutes/week of physical activity (N = 146) rated the perceived physical activity levels of, and closeness to, each person in their core social network. VMPFC activity was monitored using fMRI while participants viewed persuasive health messages promoting physical activity. Longitudinal changes in sedentary behavior were objectively logged using wrist-worn accelerometers throughout a 2-week baseline and the month following the fMRI scan. Higher levels of perceived physical activity in participants' social networks were associated with greater VMPFC activity during message exposure, which in turn were associated with greater decreases in sedentary minutes. By contrast, greater closeness to physically inactive social ties was associated with lower VMPFC activity. Perceived norms in social networks relate to neural receptivity to health messaging. In particular, closeness to physically inactive ties is associated with lower neural receptivity to health messages encouraging physical activity, which may undermine the effectiveness of health messages. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Building the Next Generation of Researchers: Mentored Training in Dissemination and Implementation Science.

Dissemination and implementation (D&I) science provides the tools needed to close the gap between known intervention strategies and their effective application. The authors report on the Mentored Training for Dissemination and Implementation Research in Cancer (MT-DIRC) program-a D&I training program for postdoctoral or early-career cancer prevention and control scholars. MT-DIRC was a 2-year training institute in which fellows attended 2 annual Summer Institutes and other conferences and received didactic, group, and individual instruction; individualized mentoring; and other supports (e.g., pilot funding). A quasi-experimental design compared changes in 3 areas: mentoring, skills, and network composition. To evaluate mentoring and D&I skills, data from fellows on their mentors' mentoring competencies, their perspectives on the importance of and satisfaction with mentoring priority areas, and their self-rated skills in D&I competency domains were collected. Network composition data were collected from faculty and fellows for 3 core social network domains: contact, mentoring, and collaboration. Paired t tests (mentoring), linear mixed models (skills), and descriptive analyses (network composition) were performed. Mentors were rated as highly competent across all mentoring competencies, and each mentoring priority area showed reductions in gaps between satisfaction and importance between the 6 and 18 months post-first Summer Institute. Fellows' self-rated skills in D&I competencies improved significantly in all domains over time (range: 42.5%-52.9% increase from baseline to 18 months post-first Summer Institute). Mentorship and collaboration networks grew over time, with the highest number of collaboration network ties for scholarly manuscripts (n = 199) in 2018 and for research projects (n = 160) in 2019. Building on study findings and existing literature, mentored training of scholars is an important approach for building D&I skills and networks, and thus to better applying the vast amount of available intervention evidence to benefit cancer control.

The Social Relationship Context of Elder Mistreatment.

Elder mistreatment victims at risk of poor physical and psychological health may benefit from increased social support. This article identifies mistreatment victims among community-dwelling older Americans and maps their social networks to guide the design of social support interventions. Using nationally representative survey data from Wave 3 (2015-2016) of the National Social Life, Health, and Aging Project (N = 2,334) and descriptive, latent class, and regression analyses, we estimate the prevalence of mistreatment since age 60, identify the alleged perpetrators' relationships to the victims, and examine victims' social networks. Self-reported lifetime prevalence of elder mistreatment is as high as 21%, depending on the mistreatment behavior measured. Latent class analysis reveals two mistreatment classes: 12% of older adults experienced multiple types of mistreatment (polyvictimization), and 6% experienced primarily financial mistreatment. Although alleged perpetrators are unlikely to appear in older adults' core social networks, the most commonly reported perpetrators are children and relatives. Regression analyses show that experiencing mistreatment since age 60 is associated with having less current social support, more social strain, and fewer kin in the core social network. Older adults reporting polyvictimization also have less-dense core networks. Increasing family support should be done cautiously because children and relatives are frequently named as mistreatment perpetrators. Increasing communication across polyvictimization victims' network members may support their well-being. Providing outside assistance with financial management could benefit financial mistreatment victims.

Social network extraction based on Web: 3. the integrated superficial method

The Web as a source of information has become part of the social behavior information. Although, by involving only the limitation of information disclosed by search engines in the form of: hit counts, snippets, and URL addresses of web pages, the integrated extraction method produces a social network not only trusted but enriched. Unintegrated extraction methods may produce social networks without explanation, resulting in poor supplemental information, or resulting in a social network of durmise laden, consequently unrepresentative social structures. The integrated superficial method in addition to generating the core social network, also generates an expanded network so as to reach the scope of relation clues, or number of edges computationally almost similar to n(n − 1)/2 for n social actors.

Social Network Extraction Based on Web. A Comparison of Superficial Methods

The Web as a source of information has many potentials which allow to use the different treatments on social network extraction methods. The approaches generally we identified as superficial methods in unsupervised stream. However, the same resources of social networks, i.e. based on a community of social actors, reveal many of different approaches to produce social networks. Therefore, based on a treatment to another treatments, from the given treatments until the different social networks generated and it has been declared different methods. It requires comparison to reveal the properties of social networks and their methods in this paper. It is revealed that there is a core social network has similarity with other social networks is more than 1% as general property of the extracted social networks, whereby there is a social network for different methods has the common edges in graph.

Building entrepreneurs’ innovativeness through knowledge management: the mediating effect of entrepreneurial alertness

This paper explores the possible relationship between sources of knowledge acquisition and entrepreneurs’ innovativeness from the perspective of knowledge management. Specifically, it employs the partial least squares structure equation model to study the entrepreneurs’ innovativeness through knowledge acquisition. It has been found that knowledge acquisition through social networks with suppliers, manufacturers and distributors and management practices has a positive effect on entrepreneurial alertness to business ideas. Moreover, entrepreneurial alertness plays a mediating role between sources of knowledge acquisition and entrepreneurs’ innovativeness. In addition, entrepreneurial alertness plays a completely mediating role between core social network knowledge and entrepreneurs’ innovativeness, and a partial mediating role between sources of knowledge acquisition and entrepreneurs’ innovativeness. This finding has both theoretical and practical implications for entrepreneurial learning in general.

Small and Even Smaller Circles: The Size of Mobile Phone-Based Core Social Networks in Scandinavia and South Asia

Previous research in developed countries has shown that mobile phone users call and text to a relatively small circle of people. Research from the Global South indicates that core network size is often larger than in the developed world since the logistics of daily life require extended informal logistics. This suggests that the core social network, as seen in the use of mobile voice and texting, will be larger in developing countries than in developed countries. This is tested using mobile phone log data from Norway, Malaysia, Thailand and Pakistan. A total of 4000 subscribers and their “one hop” social networks (approx. 80,000 links) were examined. The results show that the core mobile phone-based networks are not larger in developing countries. This indicates that cost, literacy and other cultural issues are significant when considering the question of core network size as seen in the use of mobile telephony.

The Modular Neuroarchitecture of Social Judgments on Faces

Face-derived information on trustworthiness and attractiveness crucially influences social interaction. It is, however, unclear to what degree the functional neuroanatomy of these complex social judgments on faces reflects genuine social versus basic emotional and cognitive processing. To disentangle social from nonsocial contributions, we assessed commonalities and differences between the functional networks activated by judging social (trustworthiness, attractiveness), emotional (happiness), and cognitive (age) facial traits. Relative to happiness and age evaluations, both trustworthiness and attractiveness judgments selectively activated the dorsomedial prefrontal cortex and inferior frontal gyrus, forming a core social cognition network. Moreover, they also elicited a higher amygdalar response than even the emotional control condition. Both social judgments differed, however, in their top-down modulation of face-sensitive regions: trustworthiness judgments recruited the posterior superior temporal sulcus, whereas attractiveness judgments recruited the fusiform gyrus. Social and emotional judgments converged and, therefore, likely interact in the ventromedial prefrontal cortex. Social and age judgments, on the other hand, commonly engaged the anterior insula, inferior parietal cortex, and dorsolateral prefrontal cortex, which appear to subserve more cognitive aspects in social evaluation. These findings demonstrate the modularity of social judgments on human faces by separating the neural correlates of social, face-specific, emotional, and cognitive processing facets.

Illness experience and reasons for nonadherence among individuals with bipolar disorder who are poorly adherent with medication

Aim Nonadherent individuals are the most likely to avoid participating in research studies, thus limiting potential opportunities to develop evidence-based approaches for adherence enhancement. This mixed-method analysis evaluated factors related to adherence among 20 poorly adherent community mental health clinic patients with bipolar disorder (BD). Methods Illness experience was evaluated with qualitative interview. Quantitative assessments measured symptoms (Hamilton Depression Rating Scale, Young Mania Rating Scale, Brief Psychiatric Rating Scale), adherence behavior, and treatment attitudes. Poor adherence was defined as missing 30% or more of medication. Results Minorities (80%), unmarried individuals (95%), and those with substance abuse (65%) predominated in this nonadherent group of patients with BD. Individuals were substantially depressed (mean Hamilton Depression Rating Scale, 19.2), had at least some manic symptoms (mean Young Mania Rating Scale, 13.6), and had moderate psychopathology (mean Brief Psychiatric Rating Scale, 41.2). Rates of missed medications were 41% to 43%. Forgetting to take medications was the top reason for nonadherence (55%), followed by side effects (20%). Disorganized home environments (30%), concern regarding having to take long-term medications (25%) or fear of side effects (25%), and insufficient information regarding BD (35%) were relatively common. Almost one third of patients had individuals in their core social network who specifically advised against medication. Access problems included difficulty paying for medications among more than half of patients. Interestingly, patients reported good relationships with their providers. Conclusions Forgetting to take medication and problems with side effects are primary drivers of nonadherence. Lack of medication routines, unsupportive social networks, insufficient illness knowledge, and treatment access problems may likewise affect overall adherence. Complementary quantitative and qualitative data collection can identify reasons for nonadherence and may inform specific clinical approaches to enhance adherence.

Economic Vulnerability among Low-Educated Europeans

In this article, we pose the question: To what extent does a lack of individual resources and of access to high quality resources in one’s core social network explain why low-educated people are likely to experience economic vulnerability? Additionally, we explain cross-national differences in the risk that the low-educated run in terms of economic vulnerability. Multi-level models estimated for 22 countries of the European Social Survey show that a lack of labour market success and partner’s resources explain why the low-educated are likely to suffer from economic vulnerability. Next, we find a number of determinants to explain why the low-educated are better off in some countries than in others, i.e. cross-national variation in access of the low-educated group to high quality social resources, beliefs about the productivity of the group as a whole, structural labour market conditions and welfare state arrangements. In so far as welfare states can influence the contexts in which their (low-educated) citizens live, to a great extent they can also reduce economic vulnerability among the low-educated.

Social network analysis and the evaluation of leadership networks

Leadership development practitioners are increasingly interested in social networks as a way to strengthen relationships among leaders in fields, communities, and organizations. This paper offers a framework for conceptualizing different types of leadership networks and uses case examples to identify outcomes typically associated with each type of network. Evaluating leadership networks is a challenge for the field of leadership development. Social network analysis (SNA) is an evaluation approach that uses mathematics and visualization to represent the structure of relationships between people, organizations, goals, interests, and other entities within a larger system. In this article we describe core social network concepts and the application of them to illuminate the value of SNA as an evaluation tool.

The Stockholm spinal cord injury study: 4. Psychosocial and financial issues of the Swedish annual level-of-living survey in SCI subjects and controls.

In a series of articles from the Stockholm Spinal Cord Injury Study (SSCIS), the health status of a near-total regional SCI population comprising 353 subjects has been investigated. The present study describes the psycho-social and financial consequences of SCI in this group. It is based on a level-of-living survey that has been used annually on 8000-14,000 Swedes since 1974. The health-focused version of this survey was used for data collection in the subset of 326 subjects in the SSCIS that were residents of the Greater Stockholm area. The normative material consisted of 1978 interviews of residents of the same area, provided by the Swedish Bureau of Statistics. The results show that SCI subjects, although provided with basic material commodities up to par with the general population, have less financial reserves and more frequently express worry about their finances. Less than half of the subjects are gainfully employed, when part-time jobs are also included. Social activities are more restricted, and more centered on the core social network. Several items in the survey point to a preoccupation with personal rather than public matters. We feel that these factors, at least to some degree, are consequential to separation from the workplace, with resulting disadvantageous financial and social effects. Intensified vocational rehabilitation efforts might thus be justified from both an economic and a psycho-social point of view.