scholarly journals Changes in Social Network Size Are Associated With Cognitive Changes in the Oldest-Old

2020 ◽  
Vol 11 ◽  
Author(s):  
Susanne Röhr ◽  
Margrit Löbner ◽  
Uta Gühne ◽  
Kathrin Heser ◽  
Luca Kleineidam ◽  
...  
Keyword(s):  
Social Network ◽  
Oldest Old ◽  
Network Size ◽  
Cognitive Changes ◽  
Social Network Size

scholarly journals Social relationships, living arrangements and loneliness

2021 ◽  
Author(s):  
W. Schmitz ◽  
S. Mauritz ◽  
M. Wagner
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Living Arrangements ◽  
Oldest Old ◽  
Well Being ◽  
Intimate Partner ◽  
Network Size ◽  
Cross Sectional ◽  
Social Network Size ◽  
The Social

Abstract Background Oldest-old people are expected to be particularly likely to experience loneliness due to the loss of their intimate partner or of same-aged social network members. It is assumed that individuals in different living arrangements maintain different kinds of social networks because they adjust their networks to their specific needs. However, not much is known about the variation in the social networks of the oldest-old depending on their living arrangements and how this variation is related to loneliness. This is the first study that seeks to fill this research gap by examining how the composition and the size of a social network varies among the oldest-old depending on their living arrangements with a partner (coresidential partnership, living apart together (LAT) partnership, no partnership), and how this variation contributes to explain loneliness among the oldest-old. Methods We used cross-sectional data from the representative survey NRW80+ (Quality of Life and Well-Being of the Very Old in North-Rhine Westphalia). The sample of analysis used in this study consists of 1860 respondents from the German state of North-Rhine Westphalia aged 80 years and older. Associations between social network characteristics and living arrangements were tested using χ2-tests and one-way ANOVA. Ordered logit models were used to explain loneliness. Results Respondents in a coresidential partnership maintained larger social networks than those in an LAT partnership and those with no intimate partner. Furthermore, the respondents with no partner maintained more diverse social networks. Compared to those in the other living arrangements, the respondents in an LAT partnership maintained the smallest and least diverse social networks. Being in a coresidential partnership and the social network size were found to be negatively associated with loneliness. Conclusion First, the results indicate that respondents who do not have a partner adjusted their social networks to meet their needs in the absence of this relationship. Second, we conclude that being in a coresidential partnership and having a large social network protects the oldest-old against loneliness.

Extraverts Have Larger Social Network Layers

2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Outer Layer ◽  
Network Size ◽  
Emotional Intensity ◽  
Emotional Closeness ◽  
Network Layer ◽  
Network Layers ◽  
Social Network Size

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.

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.

scholarly journals Online social network size is reflected in human brain structure

2011 ◽  
Vol 279 (1732) ◽  
pp. 1327-1334 ◽  
Author(s):  
R. Kanai ◽  
B. Bahrami ◽  
R. Roylance ◽  
G. Rees
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Real World ◽  
Brain Structure ◽  
Grey Matter ◽  
Online Social Network ◽  
Network Size ◽  
Matter Density ◽  
Web Based ◽  
Social Network Size

The increasing ubiquity of web-based social networking services is a striking feature of modern human society. The degree to which individuals participate in these networks varies substantially for reasons that are unclear. Here, we show a biological basis for such variability by demonstrating that quantitative variation in the number of friends an individual declares on a web-based social networking service reliably predicted grey matter density in the right superior temporal sulcus, left middle temporal gyrus and entorhinal cortex. Such regions have been previously implicated in social perception and associative memory, respectively. We further show that variability in the size of such online friendship networks was significantly correlated with the size of more intimate real-world social groups. However, the brain regions we identified were specifically associated with online social network size, whereas the grey matter density of the amygdala was correlated both with online and real-world social network sizes. Taken together, our findings demonstrate that the size of an individual's online social network is closely linked to focal brain structure implicated in social cognition.

scholarly journals Estimation of the Active Social Network of Street Children in Shiraz (A City of Iran)

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Nasrin Motazedian ◽  
Mehrab Sayadi ◽  
Somaye Oboodi ◽  
Hassan Joulaei
Keyword(s):  
Social Network ◽  
Direct Method ◽  
Street Children ◽  
Scale Up ◽  
Sampling Technique ◽  
Target Population ◽  
Network Size ◽  
Hidden Population ◽  
Face To Face ◽  
Social Network Size

: Street children are a hard-to-reach population. Since the direct method is not feasible and has some limitations, we utilized the network scale-up (NSU) as an indirect method. This study was conducted in Shiraz municipalities. Our target population was Iranian boys between 10 to 18 years of age during the years 2014 to 2016. Three trained psychologists conducted face to face interviews with 86 street children (boys) on the streets, through the convenience sampling technique. The social network size of street boys in Shiraz was estimated at 17 persons (ranging from zero to 92 people, mean = 17 ± 17, median = 13). Overall, the network size of the hidden population might be smaller than the general population, due to the stigmatized nature of their behavior and place of work.

Abstract TMP37: Social Network Size at Stroke Onset is Associated With 3 and 6-Month Stroke Outcomes

Stroke ◽  
2018 ◽  
Vol 49 (Suppl_1) ◽  
Author(s):  
Amar Dhand ◽  
Douglas Luke ◽  
Angela Kim ◽  
Steven K Feske ◽  
Catherine E Lang ◽  
...  
Keyword(s):  
Social Network ◽  
Network Size ◽  
Stroke Onset ◽  
Stroke Outcomes ◽  
Social Network Size
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