scholarly journals Social Network Characteristics and Daily Smoking among Young Adults in Sweden

2013 ◽  
Vol 10 (12) ◽  
pp. 6517-6533 ◽  
Author(s):  
Mikael Rostila ◽  
Ylva Almquist ◽  
Viveca Östberg ◽  
Christofer Edling ◽  
Jens Rydgren
Keyword(s):  
Young Adults ◽  
Social Network ◽  
Daily Smoking ◽  
Network Characteristics

scholarly journals Social Network Characteristics, Social Support, and Cigarette Smoking among Asian/Pacific Islander Young Adults

2016 ◽  
Vol 57 (3-4) ◽  
pp. 353-365 ◽  
Author(s):  
Pallav Pokhrel ◽  
Pebbles Fagan ◽  
Kevin Cassel ◽  
Dennis R. Trinidad ◽  
Joseph Keawe‘aimoku Kaholokula ◽  
...  
Keyword(s):  
Social Support ◽  
Young Adults ◽  
Social Network ◽  
Cigarette Smoking ◽  
Pacific Islander ◽  
Network Characteristics ◽  
Asian Pacific Islander ◽  
Asian Pacific

The company you keep: Social network characteristics and political participation disparity among adolescents and young adults

2021 ◽  
pp. 146144482110654
Author(s):  
Saifuddin Ahmed ◽  
Teresa Gil-Lopez
Keyword(s):  
Young Adults ◽  
Social Network ◽  
Political Participation ◽  
Age Groups ◽  
Network Size ◽  
Adolescents And Young Adults ◽  
Online Media ◽  
Participatory Action ◽  
Network Heterogeneity ◽  
Network Characteristics

The role of social network characteristics in further dissipating political participation among adolescents and young adults or mobilizing them into participatory action is debatable. This study analyzes survey data from 10 Southeast European democracies to examine the influence of informational use of online media (Internet and social media) and social network characteristics on political interest–based participatory gaps among adolescents and young adults. The findings support the reinforcement thesis that politically interested individuals exploit the benefits of online media use, thereby exacerbating participation gaps between low- and high-interest groups. These gaps are further amplified in more heterogeneous networks for both adolescents and young adults. In contrast, politically interested adolescents are more likely to politically disengage within more extensive social networks and, hence, resemble politically detached young adults. Overall, the findings support the reinforcement thesis across age groups where greater network heterogeneity amplifies participatory gaps for both adolescents and young adults, but network size plays a conditional role for adolescents.

scholarly journals The Longitudinal Interplay Between Social Network and Psychopathology in Multi-Problem Young Adult Men; Separating Within-and Between-Person Effects

2021 ◽  
Vol 12 ◽  
Author(s):  
Loïs Schenk ◽  
Miranda Sentse ◽  
Reshmi Marhe ◽  
Laura van Duin ◽  
Godfried Engbersen ◽  
...  
Keyword(s):  
Social Networks ◽  
Young Adults ◽  
Social Network ◽  
Young Adult ◽  
Young Adulthood ◽  
Deviant Peer Affiliation ◽  
Network Characteristics ◽  
Panel Models ◽  
Adult Men ◽  
Random Intercept

Young adulthood is characterized by many life changes. Especially for young men with problems across different life domains (i.e., multi-problem), these changes may entail obstacles. Incidences of psychopathology increase during young adulthood and at the same time important shifts in social networks – such as changing relations with peers and parents, isolation, or deviant peer affiliation – take place. The present study examined the longitudinal interplay between psychopathology and social network characteristics over the course of 1 year in multi-problem young adults, at both between-person and within-person level. A sample of 696 multi-problem young adult men (age 18–27) participated in this three wave study. We used traditional cross-lagged panel models (CLPM) to examine how social network characteristics and psychopathology are related at the between-person level, and random intercept cross-lagged panel models (RI-CLPM) to examine within-person links. Between-person associations between internalizing problems and social networks were bidirectional, and externalizing problems were related to problematic social network characteristics, but not vice versa. At the within-person level, no such cross-lagged paths were found. Overall, results indicated that in multi-problem young adults, social network characteristics and psychopathology are related. However, looking at within-person processes this relation is not reciprocal.

Social network characteristics of injection drug users in Montreal, Canada

2005 ◽  
Author(s):  
Prithwish De ◽  
Joseph Cox ◽  
Carole Morissette ◽  
Ann Jolly ◽  
Jean-Francois Boivin
Keyword(s):  
Social Network ◽  
Injection Drug Users ◽  
Drug Users ◽  
Injection Drug ◽  
Network Characteristics

scholarly journals Relationships between medical students’ co-regulatory network characteristics and self-regulated learning: a social network study

2021 ◽  
Author(s):  
Derk Bransen ◽  
Marjan J. B. Govaerts ◽  
Dominique M. A. Sluijsmans ◽  
Jeroen Donkers ◽  
Piet G. C. Van den Bossche ◽  
...  
Keyword(s):  
Social Network ◽  
Medical Students ◽  
Regulatory Network ◽  
Regulatory Networks ◽  
Learning Opportunities ◽  
Network Size ◽  
Tie Strength ◽  
Network Characteristics ◽  
Self Regulated Learning ◽  
Regulated Learning

Abstract Introduction Recent conceptualizations of self-regulated learning acknowledge the importance of co-regulation, i.e., students’ interactions with others in their networks to support self-regulation. Using a social network approach, the aim of this study is to explore relationships between characteristics of medical students’ co-regulatory networks, perceived learning opportunities, and self-regulated learning. Methods The authors surveyed 403 undergraduate medical students during their clinical clerkships (response rate 65.5%). Using multiple regression analysis, structural equation modelling techniques, and analysis of variance, the authors explored relationships between co-regulatory network characteristics (network size, network diversity, and interaction frequency), students’ perceptions of learning opportunities in the workplace setting, and self-reported self-regulated learning. Results Across all clerkships, data showed positive relationships between tie strength and self-regulated learning (β = 0.095, p < 0.05) and between network size and tie strength (β = 0.530, p < 0.001), and a negative relationship between network diversity and tie strength (β = −0.474, p < 0.001). Students’ perceptions of learning opportunities showed positive relationships with both self-regulated learning (β = 0.295, p < 0.001) and co-regulatory network size (β = 0.134, p < 0.01). Characteristics of clerkship contexts influenced both co-regulatory network characteristics (size and tie strength) and relationships between network characteristics, self-regulated learning, and students’ perceptions of learning opportunities. Discussion The present study reinforces the importance of co-regulatory networks for medical students’ self-regulated learning during clinical clerkships. Findings imply that supporting development of strong networks aimed at frequent co-regulatory interactions may enhance medical students’ self-regulated learning in challenging clinical learning environments. Social network approaches offer promising ways of further understanding and conceptualising self- and co-regulated learning in clinical workplaces.

Social network characteristics moderate associations between cortical thickness and cognitive functioning in older adults

2021 ◽  
Author(s):  
Neika Sharifian ◽  
Afsara B. Zaheed ◽  
Emily P. Morris ◽  
Ketlyne Sol ◽  
Jennifer J. Manly ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Network ◽  
Cognitive Functioning ◽  
Cortical Thickness ◽  
Network Characteristics

scholarly journals Social Networks and Loneliness During the COVID-19 Pandemic

2021 ◽  
Vol 7 ◽  
pp. 237802312098525
Author(s):  
Balazs Kovacs ◽  
Nicholas Caplan ◽  
Samuel Grob ◽  
Marissa King
Keyword(s):  
Social Network ◽  
Social Isolation ◽  
Close Relationships ◽  
Network Size ◽  
Global Network ◽  
Network Data ◽  
Network Characteristics ◽  
Face To Face ◽  
Social Network Data ◽  
Social Network Size

We utilize longitudinal social network data collected pre–COVID-19 in June 2019 and compare them with data collected in the midst of COVID in June 2020. We find significant decreases in network density and global network size following a period of profound social isolation. While there is an overall increase in loneliness during this era, certain social network characteristics of individuals are associated with smaller increases in loneliness. Specifically, we find that people with fewer than five “very close” relationships report increases in loneliness. We further find that face-to-face interactions, as well as the duration and frequency of interactions with very close ties, are associated with smaller increases in loneliness during the pandemic. We also report on factors that do not moderate the effect of social isolation on perceived loneliness, such as gender, age, or overall social network size.

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