• Journal of Families and Better Life
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• v.20 no.4
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• pp.149-164
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• 2002

The purpose of this study was to identify the types of social networks of urban housewives according to different network composition patterns and to analyze the structural and functional characteristics of identified types. The data used in this study were collected from 589 full-time housewives residing in Taejeon city. The major findings are as follows: 1) The social networks of housewives in urban nuclear families were classified into eight types: the kin network, the non-kin network, the kin-centered network, the friend-centered network, the neighbor-centered network, the associate-centered network, the parallel network, and the decentralized network. 2) The structual characteristics (size, density, homogeneity, duration, proximity, frequency, closeness, direction) varied according to the type. The kin network type and the non-kin network type showed extreme degrees in network characteristics. The parallel network type and the decentralized network type showed an average level of network characteristics. The kin-, friend-, neighbor-, and the associate-centered types showed network characteristics of an intermediate level between the single-category types and the decentralized type. 3) The average levels of function of social network types were different in only two(service support, interference) of the six function areas(emotional support, service support, material support, information support, social companionship support, interference). The average level of service support by the non-kin network type was higher than other types. The average level of interference by the kin-centered network type was higher than other types, and that of the neighbor-centered network type was lower than other types. On the other hand, the total amount of function performance of social network types was different in all function areas. The total amount of social support given by the decentralized network type was greater than the other types. The total amount of interference given by the non-kin network type was smaller than the other types.

• Korean Journal of Human Ecology
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• v.21 no.5
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• pp.929-945
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• 2012

This study examined structured social network types and their relationship to quality on life satisfaction of older adults. Respondents were 418 adults aged 60 or older living alone or as couples. The data was analyzed using K-means cluster analysis. Four networks types were identified: diverse, friend-neighbor focused, family focused, and restricted. Life satisfaction was highest for individuals in the diverse network group and lowest for individuals in the restricted network group. Stepwise multiple regression analysis indicated that life satisfaction of the elderly was affected by the diverse network, family focused network, the relationship quality with children, the relationship quality with neighbors, and the relationship quality with relatives. Results suggested that having diverse social network in close proximity is very important in old age and structural network types may have important practical implications for improving the quality of life among the elderly.

• Journal of Korean Academy of Nursing
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• v.40 no.1
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• pp.88-98
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• 2010

Purpose: The purpose of this study was to identify the social network types of elders and to identify differences among latent classes by social network. Methods: The data of 312 elders used in this study were collected from health, welfare, and other facilities and from elders living in the community. The interviews were conducted from July 16 to September 30, 2007 using a standard, structured questionnaire. Descriptive statistics, one way ANOVA with the SPSS 15.0 program and latent class analysis using Maximum Likelihood Latent Structure Analysis (MLLSA) program were used to analyze the data. Results: Using latent class analysis, social network types among older adults were identified as diverse for 58.0% of the sample, as family for 34.0%, and as isolated for 8.0%. The health status of respondents differed significantly by network type. Elders in diverse networks had significantly higher health status and elders in isolated networks had significantly lower physical health status on average than those in all other networks. Conclusion: The results of this study suggest that these network types have important practical implications for health status of elders. Social service programs should focus on different groups based on social network type and promote social support and social integration.

• Journal of Internet Computing and Services
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• v.18 no.4
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• pp.7-17
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• 2017

Despite various types of online social networks having different topological and functional characteristics, the kinds of online social networks considered in social recommendations are highly restricted. The pervasiveness of social networks has brought scholarly attention to expanding the scope of social recommendations into more diverse and less explored types of online social networks. As a preliminary attempt, this study examined the information-sharing patterns of a new type of online social network - unilateral (directed) network - and assessed the feasibility of the network as a useful information source. Specifically, this study mainly focused on the presence of shared interests in unilateral networks, because the shared information is the inevitable condition for utilizing the networks as a feasible source of personalized recommendations. As the results, we discovered that user pairs with direct and distant links shared significantly more similar information than the other non-connected pairs. Individual users' social properties were also significantly correlated with the degree of their information similarity with social connections. We also found the substitutability of online social networks for the top cohorts anonymously chosen by the collaborative filtering algorithm.

• The Journal of Information Systems
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• v.32 no.3
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• pp.41-61
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• 2023

Purpose This study aims to categorize the types of health, analyze the effects among health types based on network analysis find the most important type of health, and explain whether the results between health types vary depending on demographic characteristics. Design/methodology/approach This study investigated individual physical, clinical, mental, and social health(social capital and social support) levels through a survey of 100 people. Network analysis was applied to the survey data to confirm the degree centrality of nodes. Furthemore, we investigated the differences in core nodes according to gender and age groups. Findings According to the analysis result, social support was the most important health type in the entire group. Furthermore, the importance of health type was different depending on the characteristics of the groups. In the case of men, clinical health was the most important health type, and social support was analyzed to be the most important for women. In the case of young people, clinical health was the most important health type, and mental health was the most important health type in the middle-aged.

• Korean Journal of Social Welfare
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• v.43
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• pp.7-41
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• 2000

This study attempted to identify the type of social network interventions and barriers to implement them. Few empirical studies have been conducted concerning social network interventions as professional activities. Although social support and social network interventions have been noted as important practice concepts, the existing studies ten us little about how social workers perceive and experience social network interventions. This study used seven types of social network interventions identified in the previous studies. And based on "obstacles to social network interventions scale" developed by Biegel, Tracy & Song (1995), a twenty-two item scale was developed by the authors. The results from this study show that social workers little implement social network interventions such as community empowerment, family caregiver enhancement, and support group, and that they perceive organization characteristics and profession-oriented culture as important obstacles to implement social network interventions. The findings from this study suggest various strategies to address these barriers.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.96-97
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• 2012

• Journal of Families and Better Life
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• v.14 no.3
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• pp.151-166
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• 1996

This study examined the effects of social support on the perceived life satisfaction of middle-aged wives. To better understand the effects of social support on the perceived life satisfaction of middle-aged wives this study considered the following four different types of social support: emotional material informational and companionshp support. In addition each type of social support from the following five sources-the family of origin network the family of husband network friends neighbors and social organization-were examined separately in relation to the perceived life satisfaction of middle-aged wives. The data for his study were collected in the winter of 1995 from 417 housewives in Pusam wholse youngest child has graduated from elementary schools. Analyses of these data proved that (1) contrary to the classical "middle-age cristis" theory the average level of the perceived life satisfaction of middle-aged wives is relatively high; (2) there is a strong positive correla ion between the global level of social support and the overall life satisfaction of middle-aged wives; (3) the family of origin network is the most important provider of social support to middle-aged wives; and (4) the effects of social support on the perceived life satisfaction of middle-aged wives differ across types and sources of support. Findings showed that emotional informational and companionship support from the family of origin network have significantly positive effects on the perceived life satisfaction of middle-aged wives. On he other hand the material support from the family of origin network proved to have little effect.le effect.

• 한국노년학
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• v.36 no.3
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• pp.765-783
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• 2016

This study examines 2014 National Survey on Older Koreans (10,279 persons aged 65 or above) to understand social networks among older Koreans. In order to classify the types of social relationships, the latent profile analysis is conducted based on such structural aspects of social networks as network size, frequencies of contact, and closeness. The results show that older Koreans can be categorized into 5 distinct social network types: disengaged (11.6%), ritual-family-focused (17.7%), close-family-focused (23.6%), close-restricted (28,4%), and diverse (18.8%). Characteristics by each social network type are compared and multinominal logistic regression analyses are applied to figure out the influencing factors of social network type. Older persons with disengaged social network ties tend to be overwhelmingly female, living alone, old-old, and of low socioeconomic status. On the other hand, older persons with diverse social network ties tend to be young-old and had highly-ranked jobs in their mid-life. Spouse/children are the focal point of social relationships in both ritual-family-focused and close-restricted social network. However, the proportion of men is higher in the close-family-focused type than in the ritual-family-focused. Older Koreans with close-restricted social network ties tend to be female, uneducated, and have engaged in agricultural and allied activities. This study discusses the implications of its findings and how research in this area should develop in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5218-5228
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• 2012

The aim of this study is to classify the social network types among elderly people with dementia, and to examine the relationship of network type to quality of life. This is to identify influence of social network on quality of life of elderly people with dementia. And the study seeks to identify the differences of quality of life among types of social network. The data of 222 elderly people used in this study were collected from the health center and elderly people with dementia living in the community. The interview was conducted from July 17 to August 31 in 2012 using a structured questionnaire. Descriptive statistics, one way ANOVA, multiple regression analysis and also cluster analysis with the SPSS 18.0 program were used to analyze the data. As a results, three network types were classified.:(1) inactive isolated, (2) active independent (3) inactive dependent networks. Respondents in the different network type are found to have different degrees of quality of life. Respondents inactive independent network is reported to have the highest quality of life, while those with inactive isolated network are the lowest. The results of the study suggest that the classification of network types allows consideration of the interpersonal environments of elderly people with dementia. The relative effects on quality of life for elderly people with dementia, evident in the current analysis, are the case in point. Therefore Social service programs should focus on different groups based on social network type.