scholarly journals Wild chimpanzees modify modality of gestures according to the strength of social bonds and personal network size

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Anna Ilona Roberts ◽  
Sam George Bradley Roberts
Keyword(s):  
Social Bonds ◽  
Network Size ◽  
Personal Network

Measuring Personal Network Size in RDS

2014 ◽  
Author(s):  
Lisa G. Johnston ◽  
Leila Rodriguez ◽  
Joanna Napierala
Keyword(s):  
Network Size ◽  
Personal Network

scholarly journals Head-to-Head Comparison of Social Network Assessments in Stroke Survivors

2020 ◽  
Vol 11 (1) ◽  
pp. 18-24
Author(s):  
Morgan Prust ◽  
Abby Halm ◽  
Simona Nedelcu ◽  
Amber Nieves ◽  
Amar Dhand
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Social Isolation ◽  
Network Structure ◽  
Network Size ◽  
Personal Network ◽  
Mapping Tool ◽  
Social Network Structure ◽  
Network Mapping

Background and Purpose: Social networks influence human health and disease through direct biological and indirect psychosocial mechanisms. They have particular importance in neurologic disease because of support, information, and healthy behavior adoption that circulate in networks. Investigations into social networks as determinants of disease risk and health outcomes have historically relied on summary indices of social support, such as the Lubben Social Network Scale–Revised (LSNS-R) or the Stroke Social Network Scale (SSNS). We compared these 2 survey tools to personal network (PERSNET) mapping tool, a novel social network survey that facilitates detailed mapping of social network structure, extraction of quantitative network structural parameters, and characterization of the demographic and health parameters of each network member. Methods: In a cohort of inpatient and outpatient stroke survivors, we administered LSNS-R, SSNS, and PERSNET in a randomized order to each patient. We used logistic regression to generate correlation matrices between LSNS-R scores, SSNS scores, and PERSNET’s network structure (eg, size and density) and composition metrics (eg, percent kin in network). We also examined the relationship between LSNS-R-derived risk of social isolation with PERSNET-derived network size. Results: We analyzed survey responses for 67 participants and found a significant correlation between LSNS-R, SSNS, and PERSNET-derived indices of network structure. We found no correlation between LSNS-R, SSNS, and PERSNET-derived metrics of network composition. Personal network mapping tool structural and compositional variables were also internally correlated. Social isolation defined by LSNS-R corresponded to a network size of <5. Conclusions: Personal network mapping tool is a valid index of social network structure, with a significant correlation to validated indices of perceived social support. Personal network mapping tool also captures a novel range of health behavioral data that have not been well characterized by previous network surveys. Therefore, PERSNET offers a comprehensive social network assessment with visualization capabilities that quantifies the social environment in a valid and unique manner.

Vocational education teachers’ personal network at school as a resource for innovative work behaviour

2018 ◽  
Vol 30 (3) ◽  
pp. 174-185 ◽  
Author(s):  
Gerhard Messmann ◽  
Regina H. Mulder ◽  
Tuire Palonen
Keyword(s):  
Vocational Education ◽  
Descriptive Analysis ◽  
Network Size ◽  
Survey Study ◽  
Boundary Crossing ◽  
Personal Network ◽  
Content Type ◽  
Innovative Work ◽  
Innovative Work Behaviour

Purpose This paper aims to investigate the role of characteristics of vocational education teachers’ personal network at the workplace for determining the resources that enable them to cope with innovation-related demands at work. Design/methodology/approach A survey study with 48 vocational education teachers is carried out. Social network analysis, correlation analysis, and a comparative descriptive analysis of cluster profiles of teachers’ personal network at the workplace are carried out. Findings This study provides evidence for the role of network size as a facilitator of innovative work behaviour (IWB) outside the classroom. However, smaller networks can also support the development of innovations if they contain dense interactions with experienced, innovative professionals. Research limitations/implications This study implies to further investigate the role of network size in relation to the kind of network interactions (e.g. density of interactions and experience of members) in the context of larger and versatile work contexts. Practical implications This study implies that organisations should provide structures, tasks and events (e.g. interdisciplinary work teams and boundary crossing events) that enable employees to build network connections that help them to manage work-related demands. Employees themselves should reflect on their personal interaction preferences, their specific needs for support and the availability of co-workers who can provide this support. Originality/value This study contributes to the discourse on the relationship between professional networks and the development of innovations. Especially, the social work context and its role for IWB have hardly been investigated from a network perspective.

scholarly journals Balancing Bias and Burden in Personal Network Studies

2021 ◽  
Author(s):  
Marie Stadel ◽  
Gert Stulp
Keyword(s):  
Network Size ◽  
Network Data ◽  
Study Participation ◽  
Personal Network ◽  
Network Characteristics ◽  
Respondent Burden ◽  
Structural Network ◽  
Research Questions ◽  
Data Collections ◽  
Network Studies

Personal network data is increasingly used to answer research questions about the interplay between individuals (i.e., egos) and their social environment (i.e., alters). Researchers designing such data collections face a trade-off: When eliciting a high number of alters, study participation can be particularly burdensome as all data is obtained by surveying the ego. Eliciting a low number of alters, however, may incur bias in network characteristics. In the present study we use a sample of 701 Dutch women and their personal networks of 25 alters to investigate two strategies reducing respondent burden in personal network data collections: (1) eliciting fewer alters and (2) selecting a random subsample from the original set of elicited alters for full assessment. We present the amount of bias in structural and compositional network characteristics connected to applying these strategies as well as the potential study time gain for every possible network size (2 to 24 alters) as a proxy for respondent burden reduction. Our results can aid researchers designing a personal network study to balance respondent burden and bias in estimates for a range of compositional and structural network characteristics.

Measuring Personal Network Size in RDS

2014 ◽  
pp. 27-36
Author(s):  
Lisa G. Johnston ◽  
Leila Rodriguez ◽  
Joanna Napierala
Keyword(s):  
Network Size ◽  
Personal Network

How can WeChat contribute to psychosocial benefits? Unpacking mechanisms underlying network size, social capital and life satisfaction among sojourners

2019 ◽  
Vol 43 (7) ◽  
pp. 1362-1378 ◽  
Author(s):  
Hua Pang
Keyword(s):  
Social Capital ◽  
Life Satisfaction ◽  
Structural Equation ◽  
Satisfaction With Life ◽  
Well Being ◽  
Network Size ◽  
Path Model ◽  
Equation Modeling ◽  
Personal Network ◽  
Content Type

Purpose The purpose of this paper is to systematically unpack whether and how WeChat network size is correlated with perceived social capital and life satisfaction among Chinese overseas students in Germany. Design/methodology/approach Based on a web-based survey data collected from 218 sojourners, zero-order correlation analyses and structural equation modeling were separately implemented to tackle the complicated research questions. Findings Findings demonstrate that an individual’s WeChat network size significantly and directly influences bridging, bonding and maintained social capital. Importantly, a path model demonstrates that these distinct dimensions of social capital are all significant predictors of life satisfaction. Furthermore, the empirical evidence reveals that bridging, bonding and maintained social capital can mediate the association between network size and well-being outcome. Research limitations/implications Theoretically, the paper is an initial attempt contributing to the previous studies on estimating the influence of WeChat friendships on social capital and life satisfaction. Practically, these findings will contribute to a more nuanced understanding of effect of personal network characteristics derived from the dominant media interaction on social connectedness and life quality. Originality/value Despite WeChat is immensely prevalent in Mainland China, only few studies have concentrated on the role of WeChat network size in fostering individuals’ social and psychological development. The work provides unique evidence that number of friends on the emerging technology could indirectly benefit sojourners’ satisfaction with life through processes involving diverse categories of social capital in a trans-cultural environment.

A relationship between verbal aggression and personal network size

2012 ◽  
Vol 34 (2) ◽  
pp. 164-170 ◽  
Author(s):  
Koen Vanbrabant ◽  
Peter Kuppens ◽  
Johan Braeken ◽  
Evelien Demaerschalk ◽  
An Boeren ◽  
...  
Keyword(s):  
Verbal Aggression ◽  
Network Size ◽  
Personal Network

scholarly journals Effects of limitation of number of alters and time frame in the Burt name generator

2005 ◽  
Vol 2 (1) ◽  
Author(s):  
Tina Kogovšek ◽  
Valentina Hlebec
Keyword(s):  
Social Support ◽  
Time Frame ◽  
Network Size ◽  
Measurement Instruments ◽  
Personal Network ◽  
Cross Sectional ◽  
Question Wording ◽  
Statistical Estimates ◽  
Composition And Structure ◽  
Network Composition

Social networks can be operationalized as potential and actual sources of social support. Comparing cross-sectional data sets from various points in time allows us to compare overall characteristics of social support networks and their changes over time in the population. However, the measurement instruments should be identical or at least very similar. The Burt name generator (1984) for assessing discussion networks of Slovenians was applied in the 1987 and 2002 surveys. Data were collected on representative samples of adult residents of Slovenia. Owing to the complexity of the personal network questionnaire, the number of alters was limited to 5 in the 1987 survey, whereas there was no upper limit in the 2002 survey. There was also a difference in question wording. In the paper these two surveys are compared with regard to network composition and structure. Special attention is given to the effects of limiting the number of alters, question wording and network size on statistical estimates of network composition and structure.

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