The exploratory purpose of this study was to investigate the Honsu trend and to examine the relationships between the Honsu, marriage exchange resources and marital satisfaction from general group and also explore the differences in Honsu expenditure between the general group and the aimed group. the explanatory purpose of this study was to prove the social meaning of the Honsu as a 'productive exchange resources' using Emerson's exchange network theory. The data was collected from 800 men and women of general group and 72 men and women of aimed group within 5 years of marital duration through the questionnaire method. Major findings of the study from the general group were as follows : in general group 1. The bridegroom group expended more Honsu than bride group. Bridegroom's primary expenditure item was house expenditure, and bride's primary one was newlywed life goods. 2. The bridegroom's Honsu were influenced positively by parents'SES, bridegroom & bride's education level and bride's parents'SES. Bride's Honsu were influenced positively by parents' SES and bridegroom & bride's education level. 3. Bridegroom's marital satisfaction were influenced positively by bride's marriage need, bridegroom's marriage need, bride's physical attraction and bridegroom & bride's education level. Bride's marital satisfaction were influenced positively by bride's marriage need, bridegroom's physical attraction, bridegroom & bride's education level, bridegroom's marriage need, bridegroom's future possibilities and bridegroom's Honsu. 4. The social meaning of the Honsu was a 'productive exchange resource'. 1. The bridegrooms of aimed group expended more housing expenditure and also Honsu than the brides but there's no statistically significant differences in Honsu expenditure between the bridegrooms and the brides of aimed group. 2. The bridegrooms of aimed group expended about 3 times more money for wedding present for spouse and abut 1.2 times more for Honsu than the bridegrooms of general group. The bride of aimed group expended about 4.6 times more money for general group. the bride of aimed group expended abut 4.6 times more money about 4 times more for housing expenditure and about 3 times more for total Honsu than the brides of general group.
Given the network structure in online social network, it is important to determine a way to distinguish spam accounts from the network features. In online social network, the service provider attempts to detect social spamming to maintain their service quality. However the spammer group changes their strategies to avoid being detected. Even though the spammer attempts to act as legitimate users, certain distinguishable structural features are not easily changed. In this paper, we investigate a way to generate meaningful network structure features, and suggest spammer detection method using recursive structural features. From a result of real-world dataset experiment, we found that the proposed algorithm could improve the classification performance by about 8%.
The purpose of the study was to conduct an empirical study on the scope and level of social exclusion experienced by persons with psychosocial disabilities. The Wave 6 data of the Panel Survey of Employment for the Disabled were used to investigate the current status of social exclusion in life areas including income, education, work, housing, health, social network, social participation, and discrimination (N=4,161). A series of logistic regressions were executed, with the psychosocial disability(PD) group being the reference; the reverse odds rations of different disability groups were compared against the PD reference group (OR=1). The results showed that compared with all others, the PD group was about 2 to 11 times more likely to have risks in income, work, and housing; and that compared to other groups except for the autism/developmental disability group, they were about 6 to 10 times more likely to have risks in social network, social participation and discrimination. In conclusion, the authors urged the need for legal mandates to have community based mental health services and welfare services for the disabled more available to the PD groups and the necessity to eliminate various discriminatory legislations that are violating human and social rights of the persons with PDs.
This study is to help Juvenile Deliquent's successflul adaptation to the society and prevent further juvenile deliquency. Social support and the teenagers 'perception of this support is directly and indirectly influencial to the teenagers' behavior. This study is majorly on influence of ecological factors and social members, including his parents, brothers and sisters, grandparents friends, teachers and neighbors. Social support is measured on 11 factors: companionship, conflict, instrumental aid, satisfaction intimacy, affectiveness, punishment, admiration, relative power, reliable alliance, counselling for sex. This study was conveyed on 258 juvenile deliquents in CHOONCHUN Boy's Home and 153 giral in ANYANG Girl's Home. They were in age group of between 11 and 18. The questions were, 1) Do the perception of the juvenile deliquents of the social support differ according to the relations in the social network? 2) Do the perception of the juvenile deliquents of the social support differ according to their sex? The results are 1) In companionship, conflict, instrumental aid, intimacy aid, relative power, they percept friends to be most reliable and then brothers/sisters, mother father. 2) In satisfaction, brothers and sisters were thought most reliable and next came friend, mother, father. 3) In affection, father, mother, brother/sisters, friend. 4) Punishment was most often rendered by teachers and fathers. 5) Reliable alliance was found most in the mothers, the study showed and then father, brother/sister.
International Journal of Computer Science & Network Security
/
v.23
no.8
/
pp.101-106
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2023
In this busy world actually stress is continuously grow up in research and monitoring social websites. The social interaction is a process by which people act and react in relation with each other like play, fight, dance we can find social interactions. In this we find social structure means maintain the relationships among peoples and group of peoples. Its a limit and depends on its behavior. Because relationships established on expectations of every one involve depending on social network. There is lot of difference between emotional pain and physical pain. When you feel stress on physical body we all feel with tensions, stress on physical consequences, physical effects on our health. When we work on social network websites, developments or any research related information retrieving etc. our brain is going into stress. Actually by social network interactions like watching movies, online shopping, online marketing, online business here we observe sentiment analysis of movie reviews and feedback of customers either positive/negative. In movies there we can observe peoples reaction with each other it depends on actions in film like fights, dances, dialogues, content. Here we can analysis of stress on brain different actions of movie reviews. All these movie review analysis and stress on brain can calculated by machine learning techniques. Actually in target oriented business, the persons who are working in marketing always their brain in stress condition their emotional conditions are different at different times. In this paper how does brain deal with stress management. In software industries when developers are work at home, connected with clients in online work they gone under stress. And their emotional levels and stress levels always changes regarding work communication. In this paper we represent emotional intelligence with stress based analysis using machine learning techniques in social networks. It is ability of the person to be aware on your own emotions or feeling as well as feelings or emotions of the others use this awareness to manage self and your relationships. social interactions is not only about you its about every one can interacting and their expectations too. It about maintaining performance. Performance is sociological understanding how people can interact and a key to know analysis of social interactions. It is always to maintain successful interactions and inline expectations. That is to satisfy the audience. So people careful to control all of these and maintain impression management.
Journal of Korean Society of Industrial and Systems Engineering
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v.42
no.3
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pp.116-130
/
2019
This study investigates passenger-authored online reviews of airline services using social network analysis to compare the differences in customer perceptions between full service carriers (FSCs) and low cost carriers (LCCs). While deriving words with high frequency and weight matrix based on the text analysis for FSCs and LCCs respectively, we analyze the semantic network (betweenness centrality, eigenvector centrality, degree centrality) to compare the degree of connection between words in online reviews of each airline types using the social network analysis. Then we compare the words with high frequency and the connection degree to gauge their influences in the network. Moreover, we group eight clusters for FSCs and LCCs using the convergence of iterated correlations (CONCOR) analysis. Using the resultant clusters, we match the clusters to dimensions of two types of service quality models ($Gr{\ddot{o}}nroos$, Brady & Cronin (B&C)) to compare the airline service quality and determine which model fits better. From the semantic network analysis, FSCs are mainly related to inflight service words and LCCs are primarily related to the ground service words. The CONCOR analysis reveals that FSCs are mainly related to the dimension of outcome quality in $Gr{\ddot{o}}nroos$ model, but evenly distributed to the dimensions in B&C model. On the other hand, LCCs are primarily related to the dimensions of process quality in both $Gr{\ddot{o}}nroos$ and B&C models. From the CONCOR analysis, we also observe that B&C model fits better than $Gr{\ddot{o}}nroos$ model for the airline service because the former model can capture passenger perceptions more specifically than the latter model can.
This paper proposes a pursuing system utilizing the learning method where multiple cooperating agents emulate social behaviors of animals and insects and realize their group behaviors. Each agent contains sensors to perceive other agents in several directions and decides its behavior based on the information obtained by the sensors. In this paper, a neural network is used fir behavior decision controller. The input of the neural network is decided by the existence of other agents and the distance to the other agents. The output determines the directions in which the agent moves. The connection weight values of this neural network are encoded as genes, and the fitness individuals are determined using a genetic algorithm. Here, the fitness values imply how much group behaviors fit adequately to the goal and can express group behaviors. The validity of the system is verified through simulation.
Hyun, Mi Hwan;Lee, Hye Jin;Lim, Seok Jong;Lee, KangSan DaJeong
Journal of Information Science Theory and Practice
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v.10
no.spc
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pp.12-24
/
2022
This study attempted to investigate changes in collaboration structure for each stage of national Research and Development (R&D) in the artificial intelligence (AI) field through analysis of a co-author network for papers written under national R&D projects. For this, author information was extracted from national R&D outcomes in AI from 2014 to 2019. For such R&D outcomes, NTIS (National Science & Technology Information Service) information from the KISTI (Korea Institute of Science and Technology Information) was utilized. In research collaboration in AI, power function structure, in which research efforts are led by some influential researchers, is found. In other words, less than 30 percent is linked to the largest cluster, and a segmented network pattern in which small groups are primarily developed is observed. This means a large research group with high connectivity and a small group are connected with each other, and a sporadic link is found. However, the largest cluster grew larger and denser over time, which means that as research became more intensified, new researchers joined a mainstream network, expanding a scope of collaboration. Such research intensification has expanded the scale of a collaborative researcher group and increased the number of large studies. Instead of maintaining conventional collaborative relationships, in addition, the number of new researchers has risen, forming new relationships over time.
This study was conducted to lay the foundation for creating a society safe from radiation by investigating the establishment of a radiation social safety net and the establishment of safety awareness and safety culture among citizens living in Busan. Data was collected through an online survey, and 200 copies of the survey were analyzed. Data were analyzed using SPSS Window Ver 28.0. To verify differences between groups, t-test and one way ANOVA were performed, and correlation analysis was performed to confirm the relationship between variables. In addition, multiple linear regression analysis was conducted to confirm the influence between variables. As a result, first, in terms of building a social safety net, citizens' safety awareness, and establishing a safety culture, the scores of the group with male gender, age in 20s, and high school graduation were found to be high. Among them, there was a statistical difference in gender at the significance level of .01 for building a social safety network and at the significance level of .05 for establishing a safety culture. In terms of occupation, there was a statistical difference between professionals and service workers at the significance level of .05 regarding the building of a radiation social safety network. Second, as a result of multiple regression analysis, it was found that 'local government radiation safety education', a subordinate factor in building a radiation social safety network, had a positive effect on citizens' safety awareness and establishment of a safety culture. Third, the results of the correlation analysis between the building of a social safety network, citizens' safety awareness, and establishment of a safety culture showed a positive correlation. Therefore, it is believed that a good radiation social safety network will have a positive impact on citizens' safety awareness and the establishment of a safety culture.
This study explored how the network structure in terms of social interactions among users via a mobile game has changed longitudinally. The main findings are summarized as follows. First, in-game events are likely to increase the social interactions of users. Second, some power users played key roles in the game users' network and tend to make a large sub-group for interacting among users. Third, it is suggested that the analysis of network structure among users can be a useful tool for monitoring which in-game events are effective and how they are mutually interconnected for collaboration.
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