The effect of retirement on social relationships

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Simona Lorena Comi ◽  
Elena Cottini ◽  
Claudio Lucifora

Abstract We analyze the causal effect of retirement on individual social relationships using data from the Survey of Health, Ageing and Retirement in Europe. We find that retirement changes the composition of the individual’s social network, inducing a substitution between weak (friends or colleagues) and strong ties (family), along with an increase in the intensity of the surviving ties, and there is no effect on the network’s size. These changes in the social network’s composition are associated with a higher satisfaction and stronger relationships. Interestingly, females reduce the share of friends while males that of colleagues.

KRITIS ◽  
2018 ◽  
Vol 27 (1) ◽  
pp. 35-56
Author(s):  
Jos Josia Beeh ◽  
Sri Suwartiningsih ◽  
Elly Esra Kudubun

The village Bokonusan is the location on the Semau Island and the district of Kupang, East Nusa Tenggara. Norma and refers to the contructual obligations between members of society in accordance with the rules of the costums, trust that refer to expectation and goals together in building in accordance with the values of mutual cooperation of solidarity of the community. As for the porpouse of research to, give me a description of application of the local Dale Esa in the life together in the village Bokonusan, as well as explain the elements of what is contained in the wisdom of Dale Esa as social capital in communities Bokonusan village. The method used is a qualitatve and approach to the contructivism oh the research descriptive aksplanative. Interwoven ily tradition, a marriege, birth, death, a new garden work (teh management of the land) and conflic resolution. The application of valeu to keep in daily life as from of social interaction. In the wisdom of Dale Esa the cooperation between the community refers to social relationships between societies so that, the social network, the obligation, prohibition, the rigth have, between members of the community to help each other as a from social norm, the emergance of the hope and goals together to build together as result the trust.


Author(s):  
Julia Lehmann ◽  
Katherine Andrews ◽  
Robin Dunbar

Most primates are intensely social and spend a large amount of time servicing social relationships. The social brain hypothesis suggests that the evolution of the primate brain has been driven by the necessity of dealing with increased social complexity. This chapter uses social network analysis to analyse the relationship between primate group size, neocortex ratio and several social network metrics. Findings suggest that social complexity may derive from managing indirect social relationships, i.e. relationships in which a female is not directly involved, which may pose high cognitive demands on primates. The discussion notes that a large neocortex allows individuals to form intense social bonds with some group members while at the same time enabling them to manage and monitor less intense indirect relationships without frequent direct involvement with each individual of the social group.


E-Marketing ◽  
2012 ◽  
pp. 185-197
Author(s):  
Przemyslaw Kazienko ◽  
Piotr Doskocz ◽  
Tomasz Kajdanowicz

The chapter describes a method how to perform a classification task without any demographic features and based only on the social network data. The concept of such collective classification facilitates to identify potential customers by means of services used or products purchased by the current customers, i.e. classes they belong to as well as using social relationships between the known and potential customers. As a result, a personalized offer can be prepared for the new clients. This innovative marketing method can boost targeted marketing campaigns.


Author(s):  
Przemyslaw Kazienko ◽  
Piotr Doskocz ◽  
Tomasz Kajdanowicz

The chapter describes a method how to perform a classification task without any demographic features and based only on the social network data. The concept of such collective classification facilitates to identify potential customers by means of services used or products purchased by the current customers, i.e. classes they belong to as well as using social relationships between the known and potential customers. As a result, a personalized offer can be prepared for the new clients. This innovative marketing method can boost targeted marketing campaigns.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S213-S213
Author(s):  
Heather Fuller ◽  
Heather Fuller ◽  
Masahiro Toyama

Abstract Social support is well documented as promoting women’s well-being across the lifespan, yet implications vary depending on the source and type of support. The present study examined whether relationships with family, friends, and neighbors (both satisfaction with and number in social network) affected well-being over two years. Midwestern women (N=188, mean age = 80) were sampled from two waves of the Social Integration and Aging Study (2013, 2015). Hierarchical regression models indicated that satisfaction with friends predicted better life satisfaction, but satisfaction with family and neighbors did not predict well-being. In contrast, number of neighbors in social network predicted lower life satisfaction and greater stress, while number of family and friends were not associated with well-being. Moreover, differential effects emerged between older and younger women. Findings highlight unique facets of older women’s social relationships and suggest that future research and interventions addressing age and the source of support are warranted.


2018 ◽  
Vol 7 (4) ◽  
pp. 2738
Author(s):  
P. Srinivas Rao ◽  
Jayadev Gyani ◽  
G. Narsimha

In online social network’s phony account detection is one of the major task among the ability of genuine user from forged user account. The fundamental objective of detection of phony account framework is to detect fake account and removal technique in Social network user sites. This work concentrates on detection of phony account in which it depends on normal basis framework, transformative Algorithms and fuzzy technique. Initially, the most essential attributes including personal attributes, comparability techniques and various real user review, tweets, or comments are extricated. A direct blend of these attributes demonstrates the significance of each reviews tweets comments etc. To compute closeness measure, a consolidated strategy in view of artificial honey bee state Algorithm and fuzzy technique are utilized. Second approach is proposed to alter the best weights of the normal user attributes utilizing the social network activities/transaction and inherited Algorithm. Finally, a normal rank rationale framework is utilized to calculate the final scoring of normal user activities. The decision making of proposed approach to find phony account are variation with existing techniques user behavioral analysis using data sets and machine learning techniques such as crowdflower_sample and genuine_accounts_sample dataset of facebook and Twitter. The outcomes demonstrate that proposed strategy overcomes the previously mentioned strategies. 


2019 ◽  
Vol 24 (1) ◽  
pp. 61-71
Author(s):  
Angana Debnath ◽  
Piyal Basu Roy

Purpose Alienation and isolation is an off-seen social aspect of gerontological crises. The purpose of this paper is to focus on the social isolation and loneliness of older people that emerge from inadequate integration with the social network, coupled with increasing social chasm between the aged and the young. The sample population is Cooch Behar municipal town, West Bengal, India. Design/methodology/approach To conduct the study, data have been collected through a questionnaire followed by purposive random sampling and analyzed with the help of loneliness scale and correlated variables. Findings The study reveals that marital status, social network, social class and health are some of the parameters that influence the level of social isolation and loneliness among the older people. Originality/value The result highlights the importance of social relationships and interaction on the ageing process.


2011 ◽  
Vol 14 (01) ◽  
pp. 13-30 ◽  
Author(s):  
TIMOTEO CARLETTI ◽  
SIMONE RIGHI ◽  
DUCCIO FANELLI

In this paper, we show that the small world and weak ties phenomena can spontaneously emerge in a social network of interacting agents. This dynamics is simulated in the framework of a simplified model of opinion diffusion in an evolving social network where agents are made to interact, possibly update their beliefs and modify the social relationships according to the opinion exchange.


2019 ◽  
Vol 39 (5/6) ◽  
pp. 356-375 ◽  
Author(s):  
Kaberi Gayen ◽  
Robert Raeside ◽  
Ronald McQuaid

Purpose The purpose of this paper is to demonstrate the importance of social networks, and the social capital embedded in them, to secure employment if someone had become unemployed after the age of 50 years and to reveal the process of accessing and mobilising that social capital. Design/methodology/approach A case study of a Scottish labour market was undertaken which involved an interview-based survey of those who became unemployed in their early 50’s and tried to regain employment. The interview had structured and unstructured parts which allowed both quantitative and qualitative analysis to compare those who were successful in regaining work with those who were not. The uniqueness of the paper is the use of social network components while controlling for other socio-economic and demographic variables in job search of older workers. Findings Those older people who were unemployed and, returned to employment (reemployed) had a higher proportion of contacts with higher prestige jobs, their job searching methods were mainly interpersonal and the rate of finding their last job via their social networks was higher than those who remained unemployed. Both groups mobilised social capital (MSC), but those reemployed accessed higher “quality” social capital. “Strong ties”, rather than “weak ties”, were found to be important in accessing and mobilising social capital for the older workers who returned to employment. Research limitations/implications This work is limited to a local labour market and is based on a small but informative sample. However, it does show that policy is required to allow older people to enhance their social networks by strengthening the social capital embedded in the networks. The results support the use of intermediaries as bridges to help compensate for older people who have weak social networks. Besides the policy implications, the paper also has two distinct research implications. First, the use of social network component to the existing literature of older workers’ job search. Second, exploring the type and relational strength with network members to explain older workers’ reemployment. Practical implications The paper illustrates that how accessed and MSC can be measured. Social implications As populations age, this work points to an approach to support older people to re-enter employment and to include them in society. Originality/value The paper extends social network and employment literature to fill gaps on how older people require to both access and mobilise social capital. The importance of “strong ties” in the reemployment of older workers contrasts with much of the literature on younger workers where the “strength of weak ties” so far has been regarded as essential for successful job search. Measures are forwarded to reveal the relevance of social capital. The policy value of the work is in suggesting ways to facilitate older people re-enter or remain in work and hence sustain their well-being.


Author(s):  
Dharmpal Singh

Social media are based on computer-mediated technologies that smooth the progress of the creation and distribution of information, thoughts, idea, career benefits and other forms of expression via implicit communities and networks. The social network analysis (SNA) has emerged with the increasing popularity of social networking services like Facebook, Twitter, etc. Therefore, information about group cohesion, contribution in activities, and associations among subjects can be obtained from the analysis of the blogs. The analysis of the blogs required well-known knowledge discovery tools to help the administrator to discover participant collaborative activities or patterns with inferences to improve the learning and sharing process. Therefore, the goal of this chapter is to provide the data mining tools for information retrieval, statistical modelling and machine learning to employ data pre-processing, data analysis, and data interpretation processes to support the use of social network analysis (SNA) to improve the collaborative activities for better performance.


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