Kinship, Ethnic Segregation and Multiculturalism in Singapore: A Relational Study

2009 ◽  
Vol 37 (4) ◽  
pp. 677-698 ◽  
Author(s):  
Vincent Chua
Keyword(s):  
Network Analysis ◽  
Social Factors ◽  
Ethnic Relations ◽  
Personal Networks ◽  
Weak Ties ◽  
Ethnic Segregation ◽  
Personal Network ◽  
Ethnic Integration ◽  
Interethnic Contact ◽  
Kinship Relations

AbstractThe question of inter-ethnic integration and segregation in multicultural societies has been characterised by remarkable tensions at the level of public and scholarly debate between optimists who see 'good' inter-ethnic relations and pessimists who see 'bad' ones. In reality, the ethnic situation in multicultural societies is often more nuanced than these labels suggest. Using personal network analysis applied to a segment of Singapore society, I show that estimates of interethnic contact are highly-contingent upon a range of methodological and social factors. Substantively, I discuss how inter-ethnic interactions may often be hampered by in-group pressures arising from kinship relations. In practice, where 'keeping family' often means 'keeping ethnicity', kinship pre-eminence in everyday life tends to suppress inter-ethnic friendship in intimate regions of personal networks. By contrast, inter-ethnic integration is more readily seen in outer regions of personal networks, suggesting that 'multiculturalism' is, in practice, a form of society based on weak ties rather than strong bonds.

Personal Networks

2021 ◽  
Author(s):  
Bernice Pescosolido ◽  
Edward B. Smith
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Inequality ◽  
Personal Networks ◽  
Personal Network ◽  
Protest Movements ◽  
Composition And Structure

Social networks are ubiquitous. The science of networks has shaped how researchers and society understand the spread of disease, the precursors of loneliness, the rise of protest movements, the causes of social inequality, the influence of social media, and much more. Egocentric analysis conceives of each individual, or ego, as embedded in a personal network of alters, a community partially of their creation and nearly unique to them, whose composition and structure have consequences. This volume is dedicated to understanding the history, present, and future of egocentric social network analysis. The text brings together the most important, classic articles foundational to the field with new perspectives to form a comprehensive volume ideal for courses in network analysis. The collection examines where the field of egocentric research has been, what it has uncovered, and where it is headed.

Assessing Social Entrepreneurs' Personal Network for Resource Acquisition

2019 ◽  
pp. 154-186
Author(s):  
Susana Bernardino ◽  
José Freitas Santos
Keyword(s):  
Online Survey ◽  
Quantitative Approach ◽  
Resource Acquisition ◽  
Personal Networks ◽  
Entrepreneurial Activity ◽  
Major Influence ◽  
Weak Ties ◽  
Network Approach ◽  
Social Entrepreneurs ◽  
Personal Network

Social entrepreneurial activity is characterized by the innovative search for resource acquisition, combination, and management to pursue opportunities aiming at fulfilling the organization's mission. The network approach to entrepreneurship assumes that entrepreneurs use their personal network to acquire resources and manage the assets of the organization. This chapter intends to analyze whether social entrepreneurs use their personal network to acquire different resources. The investigation uses a quantitative approach, based on an online survey of individuals involved in the management of Portuguese social organizations. The results attained reveal that social entrepreneurs are usually involved in strong and diversified networks. Their personal networks shape the way human, financial, and informational resources are obtained and managed. The major influence is made by social entrepreneurs' indirect contacts (weak ties) and the benefits they perceive these networks are able to provide.

I personal network in Italia

2012 ◽  
pp. 55-84
Author(s):  
Luigi Tronca
Keyword(s):  
Social Support ◽  
Network Analysis ◽  
Southern Italy ◽  
Northern Italy ◽  
Psychological Support ◽  
Personal Networks ◽  
Personal Network ◽  
Structural Holes ◽  
Material Resources ◽  
Networks Of Support

This article provides an analysis of the main features of the personal networks capable of providing social support in Italy. The first part of the paper presents a theoretical and methodological discussion about the potentials and limits of the personal network analysis. In the second part, the author presents the method used in carrying out a survey on personal networks of a sample of the population residing in Italy. Through the use of the name generator, name interpreter, and name interrelator questionnaires, this survey enables to reconstruct the size, the contents, and the form of the personal networks of respondents. The contents analyzed are material resources, social credentials, contacts, and psychological support. The forms are studied through the concepts of structural holes and network closure. Moreover the personal networks are divided into the following social circles: relatives, friends, and acquaintances. The research was conducted on a sample of over 1.200 individuals. In the last part of the article the results of this research are presented and discussed. One of the findings of this research is that Italy is divided into two geographical areas, with respect to the presence of the personal networks of support: the inhabitants of Central and Northern Italy have personal networks much more extensive than the personal networks of the inhabitants of Southern Italy and of Italian Islands.

Personal networks and psychological attributes: Exploring individual differences in personality and sense of community and their relationship to the structure of personal networks

2019 ◽  
Vol 8 (2) ◽  
pp. 168-188 ◽  
Author(s):  
Isidro Maya-Jariego ◽  
Srebrenka Letina ◽  
Elena González Tinoco
Keyword(s):  
Personality Traits ◽  
Sense Of Community ◽  
Personal Networks ◽  
Global Network ◽  
Personal Network ◽  
Ego Networks ◽  
Network Measures ◽  
Psychological Attributes ◽  
Psychological Differences ◽  
The Relationship

AbstractThe paper explores the relationship between personality characteristics, sense of community and the structure of personal networks. We collected personal network data from 100 adults, consisting of the information about their 45 alters and ties among them. In addition to the typically used bivariate correlations to analyze the relationship between individual psychological differences and network structure, we propose first the use of typologies of networks and personality and second modified versions of the triadic census in ego-networks. The results show that different personality types tend to occupy a different kind of networks and that newly introduced triadic measures show a relatively higher association with examined psychological attributes than global network measures. Overall, the Psychological Sense of Community showed higher associations with network measures than Big Five personality traits. The former was positively correlated with measures of closed triads among alters, but also with alters embedded in triads with weak ties. Regarding personality traits, Emotional Stability was positively correlated with strong closed triads and with the overall indicator of density. The elaboration of typologies and the census of triads are shown to be effective strategies for the description of personal networks, as well as for the analysis of individual psychological differences.

scholarly journals Gender Differences in Social Support Received by Informal Caregivers: A Personal Network Analysis Approach

2018 ◽  
Vol 16 (1) ◽  
pp. 91 ◽  
Author(s):  
María Rodríguez-Madrid ◽  
María del Río-Lozano ◽  
Rosario Fernandez-Peña ◽  
Jaime Jiménez-Pernett ◽  
Leticia García-Mochón ◽  
...  
Keyword(s):  
Social Support ◽  
Gender Differences ◽  
Network Analysis ◽  
Descriptive Analysis ◽  
Perceived Health ◽  
Personal Network ◽  
Convenience Sample ◽  
Caregiver Support ◽  
Traditional Gender Roles ◽  
And Function

Social support is an important predictor of the health of a population. Few studies have analyzed the influence of caregivers’ personal networks from a gender perspective. The aim of this study was to analyze the composition, structure, and function of informal caregiver support networks and to examine gender differences. It also aimed to explore the association between different network characteristics and self-perceived health among caregivers. We performed a social network analysis study using a convenience sample of 25 female and 25 male caregivers. A descriptive analysis of the caregivers and bivariate analyses for associations with self-perceived health were performed. The structural metrics analyzed were density; degree centrality mean; betweenness centrality mean; and number of cliques, components, and isolates. The variability observed in the structure of the networks was not explained by gender. Some significant differences between men and women were observed for network composition and function. Women received help mainly from women with a similar profile to them. Men’s networks were broader and more diverse and they had more help from outside family circles, although these outcomes were not statistically significant. Our results indicate the need to develop strategies that do not reinforce traditional gender roles, but rather encourage a greater sharing of responsibility among all parties.

scholarly journals Personal Network Analysis in the Study of Social Support: The Case of Chronic Pain

2018 ◽  
Vol 15 (12) ◽  
pp. 2695 ◽  
Author(s):  
Rosario Fernández-Peña ◽  
José Molina ◽  
Oliver Valero
Keyword(s):  
Social Support ◽  
Chronic Pain ◽  
Network Analysis ◽  
Network Structure ◽  
Methodological Approach ◽  
Critical Role ◽  
Support Network ◽  
Structured Interviews ◽  
Personal Network ◽  
Support Providers

In the context of chronic illness, the individual’s social and relational environment plays a critical role as it can provide the informal support and care over time, beyond healthcare and social welfare institutions. Social Network Analysis represents an appropriate theoretical and methodological approach to study and understand social support since it provides measures of personal network structure, composition and functional content. The aim of this mixed method study is to present the usefulness of Personal Network Analysis to explore social support in the context of chronic pain. Personal and support network data of 30 people with chronic pain (20 alters for each ego, 600 relationships in total) were collected, obtaining measures of personal network structure and composition as well as information about social support characteristics. Also, semi-structured interviews with participants were conducted to identify the context of their experience of pain, their limitations as regards leading an autonomous life, their social support needs and other aspects concerning the effect of pain on their social and relational lives. This approach shows the importance of non-kin social support providers and the significant role of non-providers in the personal networks of people suffering chronic pain.

scholarly journals Measuring transnational social fields through binational link-tracing sampling

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253042
Author(s):  
Marian-Gabriel Hâncean ◽  
Miranda Jessica Lubbers ◽  
José Luis Molina
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Sampling Design ◽  
Personal Networks ◽  
Future Research ◽  
Structured Interviews ◽  
Face To Face ◽  
Social Fields ◽  
Transnational Social Fields ◽  
Layered Complex

We advance bi-national link-tracing sampling design, an innovative data collection methodology for sampling from so-called “transnational social fields”, i.e. transnational networks embedding migrants, returned migrants and non-migrants. This paper describes our contributions to this methodology and its empirical implementation, and evaluates the features of the resulting networks (sample), with the aim to guide future research. We performed 303 face-to-face structured interviews on sociodemographic variables, migration trajectories and personal networks of people living in a Romanian migration sending community (Dâmbovița) and in a migration receiving Spanish town (Castellón). Inter-connecting the personal networks, we built a multi-layered complex network structure embedding 4,855 nominated people, 5,477 directed ties (nominations) and 2,540 edges. Results indicate that the link-tracing nomination patterns are affected by sex and residence homophily. Our research contributes to the emerging efforts of applying social network analysis to the study of international migration.

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