• KIPS Transactions on Software and Data Engineering
• /
• v.3 no.5
• /
• pp.179-186
• /
• 2014

Current networks such as social network, web page link, traffic network are big data which have the large numbers of nodes and edges. Many applications such as social network services and navigation systems use these networks. Since big networks are not fit into the memory, existing in-memory based analysis techniques cannot provide high performance. Frontier-Expansion-Merge (FEM) framework for graph search operations using three corresponding operators in the relational database (RDB) context. FEM exploits an index table that stores pre-computed partial paths for efficient shortest path discovery. However, the index table of FEM has low hit ratio because the indices are determined by distances of indices rather than the possibility of containing a shortest path. In this paper, we propose an method that construct index table using high degree nodes having high hit ratio for efficient shortest path discovery. We experimentally verify that our index technique can support shortest path discovery efficiently in real-world datasets.

• Steel and Composite Structures
• /
• v.42 no.6
• /
• pp.733-745
• /
• 2022

This study proposed a robust artificial intelligence (AI) model based on the social behaviour of the imperialist competitive algorithm (ICA) and artificial neural network (ANN) for modelling the deflection of reinforced concrete beams, abbreviated as ICA-ANN model. Accordingly, the ICA was used to adjust and optimize the parameters of an ANN model (i.e., weights and biases) aiming to improve the accuracy of the ANN model in modelling the deflection reinforced concrete beams. A total of 120 experimental datasets of reinforced concrete beams were employed for this aim. Therein, applied load, tensile reinforcement strength and the reinforcement percentage were used to simulate the deflection of reinforced concrete beams. Besides, five other AI models, such as ANN, SVM (support vector machine), GLMNET (lasso and elastic-net regularized generalized linear models), CART (classification and regression tree) and KNN (k-nearest neighbours), were also used for the comprehensive assessment of the proposed model (i.e., ICA-ANN). The comparison of the derived results with the experimental findings demonstrates that among the developed models the ICA-ANN model is that can approximate the reinforced concrete beams deflection in a more reliable and robust manner.

• International Journal of Computer Science & Network Security
• /
• v.23 no.1
• /
• pp.112-119
• /
• 2023

Traditionally used for networking computers and communications, the Internet has been evolving from the beginning. Internet is the backbone for many things on the web including social media. The concept of social networking which started in the early 1990s has also been growing with the internet. Social Networking Sites (SNSs) sprung and stayed back to an important element of internet usage mainly due to the services or provisions they allow on the web. Twitter and Facebook have become the primary means by which most individuals keep in touch with others and carry on substantive conversations. These sites allow the posting of photos, videos and support audio and video storage on the sites which can be shared amongst users. Although an attractive option, these provisions have also culminated in issues for these sites like posting offensive material. Though not always, users of SNSs have their share in promoting hate by their words or speeches which is difficult to be curtailed after being uploaded in the media. Hence, this article outlines a process for extracting user reviews from the Twitter corpus in order to identify instances of hate speech. Through the use of MPCA (Modified Principal Component Analysis) and ECNN, we are able to identify instances of hate speech in the text (Enhanced Convolutional Neural Network). With the use of NLP, a fully autonomous system for assessing syntax and meaning can be established (NLP). There is a strong emphasis on pre-processing, feature extraction, and classification. Cleansing the text by removing extra spaces, punctuation, and stop words is what normalization is all about. In the process of extracting features, these features that have already been processed are used. During the feature extraction process, the MPCA algorithm is used. It takes a set of related features and pulls out the ones that tell us the most about the dataset we give itThe proposed categorization method is then put forth as a means of detecting instances of hate speech or abusive language. It is argued that ECNN is superior to other methods for identifying hateful content online. It can take in massive amounts of data and quickly return accurate results, especially for larger datasets. As a result, the proposed MPCA+ECNN algorithm improves not only the F-measure values, but also the accuracy, precision, and recall.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.7
• /
• pp.499-509
• /
• 2016

The number of female government employees is increasing steadily; therefore, the importance of their effective management is also increasing. Recently, female government employees have organized and exploited their social networks to achieve career success. To obtain a better understanding of the consequences of social networking and its impact on female government employees, 262 female employees were asked to provide details about their experiences and attitudes regarding networking behavior (internal and external networking) and how they influenced affective commitment and individual adaptation performance. The results confirmed that social networking significantly increases emotional sharing, and leads to high levels of affective commitment and individual adaptation performance. The moderating roles that positive psychological capital play in the relationships between social networking (internal and external) and emotional sharing were also investigated. The results confirmed that positive psychological capital enhances the impact internal social networking has on affective commitment and individual adaptation performance. Managerial implications for developing effective female employee management strategies were provided for government managers. Based on these results, the theoretical and practical implications of the research findings are discussed, and recommendations for future research are provided.

• Research in Community and Public Health Nursing
• /
• v.25 no.4
• /
• pp.237-247
• /
• 2014

Purpose: The purpose of this study was to examine the social determinants of health (SDH) associated with health-related quality of life (HQOL) among the community-dwelling elderly, based on the conceptual framework of the Commission on Social Determinants of Health (CSDH). Methods: A survey was conducted with 199 elders aged 65 years or older sampled through convenient sampling. Data were collected through face to face interviews by trained interviewers using a structured questionnaire, which included scales of the residential area, social support, sense of community, social network, health behaviors, and HQOL. Data were analyzed by ANOVA and stepwise multivariate regression. Results: Major SDH affecting HQOL included the participants' residential area, sense of community, and health behavior. The HQOL of the elderly residing in the B area with a low rate of basic livelihood security recipients was higher than that of those residing in other areas. Conclusion: CSDH framework was useful to determine the factors associated with HQOL among the community-dwelling elderly. In addition to their health behavior, their sense of community was found to be a SDH of HQOL, indicating the need of health promotion programs tailored to the characteristics of residential areas and strategies to enhance involvement in community activities.

• Survey Research
• /
• v.10 no.2
• /
• pp.45-69
• /
• 2009

This paper explores how multiple facets of social capital in Korea affects social conflict. The notion of social capital is composed of several elements including (1) social trust in generalized others (2) confidence in public sector fairness and the principles of democracy (3) social networks and closures and (4) community spirit and collective norms. We particularly examine how these multiple dimensions of social capital affect an individual`s tendency of social conflict orientation. The findings address the following four points. First, an individual, who trusts generalized others in a society, is less likely to be exclusive and conflict-oriented. Second, the more an individual has confidence in the efficacy of democratic processes and public sector fairness, the more (s)he is likely to be social integration oriented. When an individual, in contrast, gives strong support to a particular party (or government in power), the person is more likely to be conflict oriented. Third, an individual who mobilizes exclusive social closures to solve a problem is more likely to be conflict oriented. However, an individual who maintains a variety of inclusive social networks is more likely to be social integration oriented. Finally, the internalization of collective norms does not affect directly the tendency of individual's social conflict orientation. Increasing social capital at the individual level does not automatically guarantee societal level conflict resolutions. Rather, building extensive social closures based on strong family or hometown ties, school connections, political interests has detrimental effects on social integration and conflict resolutions. More, constructive social integration in a society requires higher level of open social networks, consistent administrative and democratic procedures, and social trust in generalized others.

• Korean Journal of Construction Engineering and Management
• /
• v.23 no.3
• /
• pp.36-44
• /
• 2022

This study analyzed Corporate Social Responsibility (CSR hereafter) of construction companies, especially focusing on small-medium companies. Surveys on construction companies' CSR activities and intensive interview with experts were executed to analyze and draw some implications. The empirical results shows that most of construction companies feel keenly necessity of CSR. The level of small-medium companies' awareness is lower than that of large companies'. CEO and board members of small-medium companies are less concerned about CSR yet. Carrying CSR activities co-working with NGO is preferred because of expertise and network. This study also suggests future strategy for CSR in the construction industry, focusing on small-medium companies. First of all it is necessary for small-medium companies to enhance the level of awareness and encourage participation in CSR. Second, it is required to strengthen relation with NGO and share information for CSR. Third, it is really significant to strengthen budget support and secure personnel to activate CSR. The systematic support by gevernment is also important. Lastly, it is essential to mount a publicity campaign and develop various CSR program. The role of 'Construction Industry Foundation for Social Responsibility' is emphasized because small-medium companies have very little room for CSR.

• Journal of Intelligence and Information Systems
• /
• v.20 no.1
• /
• pp.177-193
• /
• 2014

Over the past decade, there has been a rapid diffusion of electronic commerce and a rising number of interconnected networks, resulting in an escalation of security threats and privacy concerns. Electronic commerce has a built-in trade-off between the necessity of providing at least some personal information to consummate an online transaction, and the risk of negative consequences from providing such information. More recently, the frequent disclosure of private information has raised concerns about privacy and its impacts. This has motivated researchers in various fields to explore information privacy issues to address these concerns. Accordingly, the necessity for information privacy policies and technologies for collecting and storing data, and information privacy research in various fields such as medicine, computer science, business, and statistics has increased. The occurrence of various information security accidents have made finding experts in the information security field an important issue. Objective measures for finding such experts are required, as it is currently rather subjective. Based on social network analysis, this paper focused on a framework to evaluate the process of finding experts in the information security field. We collected data from the National Discovery for Science Leaders (NDSL) database, initially collecting about 2000 papers covering the period between 2005 and 2013. Outliers and the data of irrelevant papers were dropped, leaving 784 papers to test the suggested hypotheses. The co-authorship network data for co-author relationship, publisher, affiliation, and so on were analyzed using social network measures including centrality and structural hole. The results of our model estimation are as follows. With the exception of Hypothesis 3, which deals with the relationship between eigenvector centrality and performance, all of our hypotheses were supported. In line with our hypothesis, degree centrality (H1) was supported with its positive influence on the researchers' publishing performance (p<0.001). This finding indicates that as the degree of cooperation increased, the more the publishing performance of researchers increased. In addition, closeness centrality (H2) was also positively associated with researchers' publishing performance (p<0.001), suggesting that, as the efficiency of information acquisition increased, the more the researchers' publishing performance increased. This paper identified the difference in publishing performance among researchers. The analysis can be used to identify core experts and evaluate their performance in the information privacy research field. The co-authorship network for information privacy can aid in understanding the deep relationships among researchers. In addition, extracting characteristics of publishers and affiliations, this paper suggested an understanding of the social network measures and their potential for finding experts in the information privacy field. Social concerns about securing the objectivity of experts have increased, because experts in the information privacy field frequently participate in political consultation, and business education support and evaluation. In terms of practical implications, this research suggests an objective framework for experts in the information privacy field, and is useful for people who are in charge of managing research human resources. This study has some limitations, providing opportunities and suggestions for future research. Presenting the difference in information diffusion according to media and proximity presents difficulties for the generalization of the theory due to the small sample size. Therefore, further studies could consider an increased sample size and media diversity, the difference in information diffusion according to the media type, and information proximity could be explored in more detail. Moreover, previous network research has commonly observed a causal relationship between the independent and dependent variable (Kadushin, 2012). In this study, degree centrality as an independent variable might have causal relationship with performance as a dependent variable. However, in the case of network analysis research, network indices could be computed after the network relationship is created. An annual analysis could help mitigate this limitation.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.12B
• /
• pp.1509-1521
• /
• 2011

WfMC, which is one of the international standardization organizations leading the business process and workflow technologies, has been officially released the BPAF1.0 that is a standard format to record process instances' event logs according as the business process intelligence mining technologies have recently issued in the business process and workflow literature. The business process mining technologies consist of two groups of algorithms and their analysis techniques; one is to rediscover flow-oriented process-intelligence, such as control-flow, data-flow, role-flow, and actor-flow intelligence, from process instances' event logs, and the other has something to do with rediscovering relation-oriented process-intelligence like process-driven social networks and process-driven affiliation networks from the event logs. The current standardized format of BPAF1.0 aims at only supporting the control-flow oriented process-intelligence mining techniques, and so it is unable to properly support the relation-oriented process-intelligence mining techniques. Therefore, this paper tries to extend the BPAF1.0 so as to reasonably support the relation-oriented process-intelligence mining techniques, and the extended BPAF is termed BPAF2.0. Particularly, we have a plan to standardize the extended BPAF2.0 as not only the national standard specifications through the e-Business project group of TTA, but also the international standard specifications of WfMC.

• Research in Community and Public Health Nursing
• /
• v.32 no.4
• /
• pp.430-444
• /
• 2021

Purpose: This study is an integrated literature review to analyze health problems and social determinants of multicultural adolescents in South Korea. Methods: An integrative review was conducted according to Whittemore & Knafl's guideline. An electronic search that included publications from 2018 to 2020 in the PubMed, EMBASE, Cochrane Library, CINAHL, RISS, and KISS databases was conducted. Of a total of 67 records that were identified, 13 finally met full inclusion criteria. Text network analysis was also conducted to identify keywords network trends using NetMiner program. Results: The health problems of multicultural adolescents were classified into mental health (depression, anxiety, suicide and acculturative stress) and health risk behaviors (smoking, risky drinking, smartphone dependence and sexual behavior). As social determinants affecting the health of multicultural adolescents, the biological factors such as gender, age, and visible minority, and the psychological factors such as acculturative stress, self-esteem, family support, and ego-resiliency were identified. The sociocultural factors were identified as family economic status, residential area, parental education level, and parents' country of birth. As a result of text network analysis, a total of 41 words were identified. Conclusion: Based on these results, mental health and health risk behaviors should be considered as interventions for health promotion of multicultural adolescents. Our findings suggest that further research should be conducted to broaden the scope of health determinants to account for the effects of the physical environment and health care system.