• Journal of Families and Better Life
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• v.11 no.1
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• pp.80-92
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• 1993

The purpose of this study is to provide information of the structure of the social support network and life interchange with the social support network which influence the life satisfaction in the rural elderly. The sample of this study was selected from the elderly living in Korea rural areas. 350 out of 363 respondents were finally selected as datum sources. The methodological instrument was the questionnaire. The major findings of this study can be summarized as follows: First most of rural elderly had the relationship all kinds of social support network-family kin neighbors & friend. And the family was the primary source of support network. The com-mon size of the social support network was 1-3 persons. Second the frequency of the contact with the family the neighbors & the friends were almost daily and they were interacting in a near distance. The interchange with the social support network was high. Life satisfaction of the rural elderly was low. Third the interchange with the family and the kin the emotional interchange had the effect upon life satisfaction. Also the economic service support was significant in the kin and the neighbors.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.111-118
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• 2014

Current friend recommendation system on Twitter primarily recommends the most influential twitter. However, this way of recommendation has drawbacks where it does not recommend the users of which attributes of interests are similar to theirs. Since users want other users of which attributes are similar, this study implements follower recommendation system based on the similarity of twitter node informations. The data in this study is from SNAP(Stanford Network Analysis Platform), and it consists of twitter node information of which number of followers is over 10,000 and twitter link information. We used the SNAP data as a training data, and generated a classifier which recommends and predicts the relation between followers. We evaluated the classifier by 10-Fold Cross validation. Once two twitter node informations are given, our model can recommend the relationship of the two twitters as one of following such as: FoFo(Follower Follower), FoFr(Follower Friend), NC(Not Connected).

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.699-706
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• 2021

This study aims to identify the effects of factors on aggression in adolescents, focusing on the individual, parent, friend factors and SNS usage. In particular, this study is to provide a basis for easing aggression in adolescence by considering the emotional relationship of parents and friends. This study analyzed frequency, t-test, one-way batch distribution analysis(ANOVA), and multi-linear regression, using the data from the 7th year of the Korean Children and Youth Panel Survey. As a result, adolescents who frequently use SNS are more aggressive than adolescents who use less. Among the parental factors, the more abuse and excessive interference were found to be more aggressive, and the higher the coach, the lower the aggressiveness. Furthermore, among the friend factors, it has been shown that the higher the alienation, the more aggressive adolescents are. In order to reduce aggression among adolescents, it is necessary to prepare an integrated program considering the emotional relationship of parents and friends, who are the most influential neighbors, rather than simply restricting the use of SNS.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.1
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• pp.61-71
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• 2014

Social networking services have changed the way people communicate. Rapid growth of information generated by social networking services requires effective search methods to give useful results. Over the last decade, social search methods have rapidly evolved. Traditional techniques become unqualified because they ignore social relation data. Existing social recommendation approaches consider social network structure, but social context has not been fully considered. Especially, the friend recommendation is an important feature of SNSs. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose a levelized data processing method for social search in ubiquitous environment. We study previous researches about social search methods in ubiquitous environment. Our method is a new paradigm of levelelized data processing method which can utilize information in social networks, using location and friendship weight. Several experiments are performed and the results verify that the proposed method's performance is better than other existing method.

• Human Ecology Research
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• v.56 no.2
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• pp.123-131
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• 2018

This study investigated associations between attachment and friendship. This study also examined the mediating effects of empathy on the association between two variables. Participants consisted of $4^{th}$ to $6^{th}$ grade elementary school children including 173 boys and 141 girls. Two elementary schools were located in Seoul and Bucheon. Children participated in a peer nomination interview. They nominated their three most liked peers. Children's responses to the best friend of the peer nomination identified the children's best friends. A Friendship Quality Scale measured children's positive friendship quality and friendship satisfaction. Children completed the Inventory of the Parent and Peer Attachment Scale that assessed maternal and paternal attachment. In addition, they completed a children's version of the Empathy Quotient that measured empathy. Pearson's correlation and Structural Equation Modeling were used to analyse the data. The results indicated that attachment had a direct influence on friendship network. Children who had the high levels of attachment security had large friendship network. However, attachment did not have a significant effect on friendship quality. Moreover, empathy had mediating effects on the association between attachment and friendship quality as well as the friendship network. The results of this research highlight the importance of attachment and empathy on children's friendship.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.5
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• pp.55-72
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• 2016

This study aims at providing a methodology for retaining international technology competitiveness, marketable industry, and sustainable promising technology in a field of new growth engine industry such as national unmanned aerial vehicle industry. We draw a result by analysing with tools such as KrKwic, Excel, NetMiner, presenting methods of a Social Network Analysis, sub-group analysis, and cognitive map analysis based on patent data in a field of unmanned aerial vehicle industry. As a result, some future promising technologies are prospected as what worths concentrated investment, such as 'pilot control tech', 'identification of friend or foe tech'.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.2
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• pp.283-295
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• 2010

Although some large units, upper than division, have a identification system, most of them depend on US military. Especially, the company unit can not but execute GOP(General OutPost) guidance and battles inefficiently because they apply the method of conventional identification system. urrently, North Korea causes the high tension of peninsular by experimenting nuclear weapons and launching ICBM(Intercontinental Ballistic Missile). In addition, ROK military will reduce the number of personnel and division through reorganizing the structure into NCW (Network Centric Warfare) until 2020. These unstable situation and future tendency require the high technical identification system based on USN(Ubiquitous Sensor Network) in company unit level. his study suggests the method that the company unit apply the identification system based on USN which distinguish between friend and foe in the warfare. The identification system concludes the results through experiment of military analysis model (AWAM; Army Weapon effectiveness Analysis Model). After analyzing the experiment results, it indicates the budget requirement and operational operability of identification system. This will be able to improves battle efficiency and to prevent damages of friendly forces.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.9
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• pp.3056-3074
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• 2014

Convergecast is probably the most common communication style in wireless sensor networks (WSNs). And linear network coding (LNC) is a promising concept to improve throughput or reliability of convergecast. Most of the existing works have mainly focused on exploiting these benefits without considering its potential adverse effect. In this paper, we argue that LNC may not always benefit convergecast. This viewpoint is discussed within four basic scenarios: LNC-aided and none-LNC convergecast schemes with and without automatic repeat request (ARQ) mechanisms. The most concerned performance metrics, including packet collection rate, energy consumption, energy consumption balance and end-to-end delay, are investigated. Theoretical analyses and simulation results show that the way LNC operates, i.e., conscious overhearing and the prerequisite of successfully decoding, could naturally diminish its advantages in convergecast. And LNC-aided convergecast schemes may even be inferior to none-LNC ones when the wireless link delivery ratio is high enough. The conclusion drawn in this paper casts a new light on how to effectively apply LNC to practical WSNs.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.6
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• pp.1087-1101
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• 2013

Most people are connected to Social Network Services (SNS) through smart devices. Social Network Services are tools that transport information fast and easily. It does not care where he or she comes from. A lot of information circulates and is shared on Social Network Services. but Social Network Services faults are magnified and becoming a serious issue. For instance, malicious users generate multiple IDs easily on Facebook and he can use personal information of others on purpose, because most people tend to undoubtedly accept friend requests. In this paper, we have specified research scope to Facebook, which is one of most popular Social Network Services in the world. We propose a way of minimizing the number of malicious actions on Facebook from malignant users and malicious bots by setting criteria and applying reputation system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.762-767
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• 2013

Recently, researches on augmented reality(AR) are actively being conducted, and on addition of AR in social network system has become a necessity. In this paper, we propose GPS-based AR system for social network. This proposed system adds the recent check-in coordinates by automatically synchronizing a friend list in facebook and represents those added location coordinates in a real-world environment by using AR. Marker-based AR system that was commonly used by existing users consumes too much storage space and processing frequency for driving handle devices. But, location-based AR application can solves the disvantages of the standard marker=based AR system. Therefore, this proposed system allows an user with iOS hand devices to use GPS-based AR system by automatically searching the optimal speed for wifi and 4G. This will improve social network service.