scholarly journals The Size and Heterogeneity of Egocentric Networks and Social Integration in Hungary

2018 ◽  
Vol 32 (4) ◽  
pp. 845-865
Author(s):  
Márton Gerő ◽  
Gábor Hajdu
Keyword(s):  
Social Integration ◽  
Public Participation ◽  
Strong Ties ◽  
Egocentric Networks ◽  
Network Characteristics ◽  
Self Evaluation ◽  
Egocentric Network ◽  
Nationally Representative ◽  
Internal Side ◽  
Objective Indicators

In this study, we examine the relationship between objective and subjective dimensions of social integration and the size and heterogeneity of an egocentric network using nationally representative databases from Hungary. We measure social integration with the level of trust and the level of public participation (objective dimension) and with individuals’ self-evaluation of whether they are integrated (subjective dimension). Our results show that while the size and heterogeneity of the egocentric network are positively associated, the proportion of relatives among strong ties correlates negatively with objective indicators of social integration. The heterogeneity of weak ties is related positively to public participation. The correlation between the size and composition of egocentric networks and subjective integration is less clear: The proportion of relatives among strong ties seems to be unrelated to the external side of perceived social integration, while it is associated positively with the internal side of subjective integration. The number of strong ties seems to be positively correlated with both sides of subjective integration. These results suggest that higher levels of social integration cannot be achieved without concentrating on more than one of the network’s dimensions. They also underline the need to pay more attention to network characteristics and social support not only regarding perceived social integration but also regarding objective indicators of social integration.

Best Practices for Modeling Egocentric Social Network Data and Health Outcomes

2021 ◽  
pp. 193758672110137
Author(s):  
Jacqueline M. Burgette ◽  
Jacquelin Rankine ◽  
Alison J. Culyba ◽  
Kar-Hai Chu ◽  
Kathleen M. Carley
Keyword(s):  
Social Network ◽  
Best Practices ◽  
Health Outcomes ◽  
Organizational Behavior ◽  
Network Data ◽  
Egocentric Networks ◽  
Covariate Selection ◽  
Social Network Modeling ◽  
Egocentric Network ◽  
The Impact

Objective/Aim: We describe best practices for modeling egocentric networks and health outcomes using a five-step guide. Background: Social network analysis (SNA) is common in social science fields and has more recently been used to study health-related topics including obesity, violence, substance use, health organizational behavior, and healthcare utilization. SNA, alone or in conjunction with spatial analysis, can be used to uniquely evaluate the impact of the physical or built environment on health. The environment can shape the presence, quality, and function of social relationships with spatial and network processes interacting to affect health outcomes. While there are some common measures frequently used in modeling the impact of social networks on health outcomes, there is no standard approach to social network modeling in health research, which impacts rigor and reproducibility. Methods: We provide an overview of social network concepts and terminology focused on egocentric network data. Egocentric, or personal networks, take the perspective of an individual who identifies their own connections (alters) and also the relationships between alters. Results: We describe best practices for modeling egocentric networks and health outcomes according to the following five-step guide: (1) model selection, (2) social network exposure variable and selection considerations, (3) covariate selection related to sociodemographic and health characteristics, (4) covariate selection related to social network characteristics, and (5) analytic considerations. We also present an example of SNA. Conclusions: SNA provides a powerful repertoire of techniques to examine how relationships impact attitudes, experiences, and behaviors—and subsequently health.

What Will They Think If I Post This? Risks and Returns for Political Expression Across Platforms

2021 ◽  
Vol 7 (4) ◽  
pp. 205630512110554
Author(s):  
Elnaz Parviz ◽  
Cameron W. Piercy
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Black Americans ◽  
Political Discussion ◽  
Privacy Management ◽  
Older Americans ◽  
Political Expression ◽  
Network Characteristics ◽  
Risks And Benefits ◽  
Nationally Representative

Social networking sites (SNSs) allow individuals to establish and maintain a variety of relationships as well as share different aspects of their identity by expressing their views on numerous topics, including politics. SNS also come with perceived interpersonal risks and benefits tied to sharing with a collapsed networked audience. Using a nationally representative sample of US social media users ( N = 2,873) from 2016, this study investigated how perceived network characteristics influence people’s decision to engage in online political expression on three platforms: Facebook, Twitter, and Instagram. Findings indicate that perceived ideological homophily with the audience on an SNS and past use of privacy management settings both predict how much individuals post about politics on Facebook and Twitter, but not on Instagram. On Instagram, Black Americans were significantly more likely to engage in online political expression. On Facebook and Twitter, older Americans engaged in more political expression, and across all platforms, perceptions that political discussion online is uncivil were negatively associated with political expression.

The role of egocentric networks in achieving resilience: a case study from the apparel sector

2018 ◽  
Vol 48 (7) ◽  
pp. 682-697 ◽  
Author(s):  
Jyotirmoyee Bhattacharjya
Keyword(s):  
Supply Network ◽  
Financial Health ◽  
Multiple Perspectives ◽  
Egocentric Networks ◽  
Content Type ◽  
Study Approach ◽  
Egocentric Network ◽  
The Impact

Purpose The purpose of this paper is to explore the egocentric network-based strategies used by upstream firms to ensure their own resilience when the disruptions originate with downstream partners. Design/methodology/approach The paper adopts a case study approach as this is well-suited to the investigation of a complex phenomenon from multiple perspectives. Findings The study finds that the egocentric networks of upstream firms participating in the supply network of a retailer could ensure their own resilience even after the sudden demise of the downstream entity. Originality/value The study addresses the lack of adequate empirical research examining resilience from the perspectives of multiple entities in a supply network. It is also one of the few papers to address resilience from the perspective of upstream players in the context of a disruption originating with downstream partners. The findings suggest that the lack of visibility in relation to the financial health of more powerful downstream partners could be problematic from a supplier’s perspective. It identifies well-developed egocentric networks as being essential for minimizing consequences of limited downstream visibility and the impact on social capital.

Like-minded and cross-cutting talk, network characteristics, and political participation online and offline: A panel study

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Jörg Matthes ◽  
Franziska Marquart ◽  
Christian von Sikorski
Keyword(s):  
Political Participation ◽  
Panel Study ◽  
Political Engagement ◽  
Political Discussion ◽  
Panel Survey ◽  
Network Ties ◽  
Cross Sectional ◽  
Strong Ties ◽  
Network Characteristics

AbstractWe test the role of like-minded and cross-cutting political discussion as a facilitator of online and offline political participation and examine the role of strong versus weak network ties. Most prior research on the topic has employed cross-sectional designs that may lead to spurious relationships due to the lack of controlled variables. The findings of a two-wave panel survey controlling the autoregressive effects suggest that cross-cutting talk with weak ties significantly dampens online but not offline political participation. However, no such effects were detectable for cross-cutting talk with strong ties. In addition, we found no effect of discussions involving like-minded individuals in either weak or strong network connections on online and offline forms of political engagement. Implications are discussed.

scholarly journals Effect of social integration on childbirth return among internal migrant pregnant women: a nationally representative study in China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lulu Ding ◽  
Xinying Li ◽  
Xue Tang ◽  
Yuejing Feng ◽  
Yi Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Social Integration ◽  
Pregnant Women ◽  
Health Care Use ◽  
Logistic Regression Models ◽  
Internal Migrant ◽  
Current Residence ◽  
Care Services ◽  
Representative Study ◽  
Nationally Representative

Abstract Background Social integration has been demonstrated to be associated with the health care use among migrants, but few studies have focused on migrant pregnant women. This study aims to explore the association between social integration and childbirth at woman’s hometown (childbirth return) of internal migrant pregnant women in China. Method Using the data of “Monitoring Data of Chinese Migrants” in 2014, a total of 3412 internal migrant pregnant women were included in this study. Social integration was measured by economic integration, acculturation, and identification. The childbirth locations of internal migrant pregnant women were divided into current residency and the woman’s hometown. Univariate logistic regression and two multivariable logistic regression models were employed to assess the association between social integration and childbirth return among internal migrant pregnant women. Result Our study finds that 24.56% of migrant pregnant women choose to have a childbirth return. As for social integration, those who have their own house (OR = 0.351 95% CI 0.207–0.595) in current residence, who have been staying in current residence for at least 5 years (OR = 0.449; 95% CI 0.322–0.626), and who are willing to stay in the current residence for a long time (OR = 0.731; 95% CI 0.537–0.995) are less likely to have a childbirth return. Apart from social integration, our results also show that those migrant pregnant women who are older, who have higher education level, who have at least two family members in current residence, with a migration reason of work and business, who have established health record in the current residency, and who were not covered by medical insurances, are less likely to have a childbirth return. Conclusion Social integration is negatively associated with childbirth return among internal migrant pregnant women in China. To improve the utilization of maternal care services for migrant pregnant women in current residence, targeted policies should be made to improve social integration status for migrant pregnant women.

Corridors of Freedom: Analyzing Johannesburg’s Ambitious Inclusionary Transit-Oriented Development

2019 ◽  
Vol 39 (4) ◽  
pp. 456-468 ◽  
Author(s):  
Philip Harrison ◽  
Margot Rubin ◽  
Alexandra Appelbaum ◽  
Romain Dittgen
Keyword(s):  
Spatial Structure ◽  
Social Integration ◽  
Public Participation ◽  
Spatial Transformation ◽  
Transit Oriented Development ◽  
Documentary Analysis ◽  
Mixed Outcomes

In 2013, the Mayor of Johannesburg announced the ambitious Corridors of Freedom (CoF) initiative to transform the city’s socio-spatial structure. The CoF were constructed to be an inclusionary form of transit-oriented development (TOD). Using a 1,200 respondent survey, over 75 interviews, documentary analysis, and attendance at public participation interventions, the paper questions the possibilities for, and constraints on, the practice of inclusionary TOD. Using six criteria—spatial transformation, mobility, affordable accommodation, jobs and livelihoods, social integration, and participation—we demonstrate the mixed outcomes of inclusionary TOD.

scholarly journals Determinants of Knowledge Transfer in Egocentric Networks. Comparative Analysis of Professions

2022 ◽  
Vol 19 ◽  
pp. 40-53
Author(s):  
Marzena Fryczyńska
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Comparative Analysis ◽  
Knowledge Transfer ◽  
Regression Models ◽  
Knowledge Work ◽  
Knowledge Networks ◽  
It Professionals ◽  
Egocentric Networks ◽  
Egocentric Network

This paper investigates determinants of knowledge transfer in egocentric networks of knowledge recipient and knowledge provider, what is crucial to knowledge management in organisations. Knowledge transfer is assumed to depend on knowledge work, networking competence, and the subject’s profession: teacher, Information Technology (IT) professional, or physician. The paper reports result of a quantitative study among samples of mentioned professionalists. Regression models testing, including mediation and moderation, were performed. The findings indicate that knowledge transfer in the egocentric network of the knowledge recipient increases along with knowledge work, but only when it is mediated by networking competence. Analyses in each profession support a partial mediation in the case of IT professionals and teachers. Knowledge transfer in egocentric network of the knowledge provider increases along with knowledge work of the provider. In the case of physicians, knowledge transfer in the providers’ and recipients’ knowledge networks is affected neither by knowledge work nor by networking competence.

scholarly journals Odor Sensitivity Versus Odor Identification in Older US Adults: Associations With Cognition, Age, Gender, and Race

2020 ◽  
Vol 45 (4) ◽  
pp. 321-330
Author(s):  
Lucy Xu ◽  
Jia Liu ◽  
Kristen E Wroblewski ◽  
Martha K McClintock ◽  
Jayant M Pinto
Keyword(s):  
Older Adults ◽  
Social Life ◽  
Odor Identification ◽  
Physical And Mental Health ◽  
Gender And Race ◽  
Network Characteristics ◽  
Cognitive Component ◽  
Representative Study ◽  
Nationally Representative ◽  
Odor Sensitivity

Abstract The ability to identify odors predicts morbidity, mortality, and quality of life. It varies by age, gender, and race and is used in the vast majority of survey and clinical literature. However, odor identification relies heavily on cognition. Other facets of olfaction, such as odor sensitivity, have a smaller cognitive component. Whether odor sensitivity also varies by these factors has not been definitively answered. We analyzed data from the National Social Life, Health, and Aging Project, a nationally representative study of older US adults (n = 2081). Odor identification was measured using 5 validated odors presented with Sniffin’ Stick pens as was odor sensitivity in a 6-dilution n-butanol constant stimuli detection test. Multivariate ordinal logistic regression modeled relationships between olfaction and age, gender, race, cognition, education, socioeconomic status, social network characteristics, and physical and mental health. Odor sensitivity was worse in older adults (P < 0.01), without gender (P = 0.56) or race (P = 0.79) differences. Odor identification was also worse in older adults, particularly men (both P ≤ 0.01), without differences by race. Decreased cognitive function was associated with worse odor identification (P ≤ 0.01) but this relationship was weaker for odor sensitivity (P = 0.02) in analyses that adjusted for other covariates. Odor sensitivity was less strongly correlated with cognitive ability than odor identification, confirming that it may be a more specific measure of peripheral olfactory processing. Investigators interested in associations between olfaction and health should consider both odor sensitivity and identification when attempting to understand underlying neurosensory mechanisms.

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