• Title/Summary/Keyword: Social connection

Search Result 649, Processing Time 0.03 seconds

Stereotyping of Social Network Service with Contents of Fashion and Fashion Design Process Using a Method to Form Network (패션을 콘텐츠로 한 소셜네트워크서비스의 유형화와 네트워크 형성 방법을 활용한 패션디자인프로세스)

  • Im, Min-Jung;Kim, Young-In
    • Journal of the Korean Society of Costume
    • /
    • v.64 no.4
    • /
    • pp.21-36
    • /
    • 2014
  • The purpose of this study is to suggest an effective fashion design process using social network services(SNS) as a method to develop designs. Fashion design process was systemized through literature study. The characteristics of social network, and element and method of network formation were investigated, and then design processes using SNS were suggested through survey study. This was done by applying formation of network and its method in SNS with contents of fashion to stage of process to develop fashion design. The study results are as follows. First, Fashion design process using SNS is composed of 5 stages. Second, SNS types with contents of fashion were classified to five types: blog, community, connection of fashion web service and SNS, fashion SNS, and fashion SNS game. Among them, types where development of fashion design and product distribution was done by formation of network are connected type of fashion web service and SNS, fashion SNS type. Fashion design development can be done by compiling, having contests, and cooperative work. A method that can be used for making assessments and decision is voting and predicting the market. Third, Fashion design process using SNS is composed of the stages such as planning, compiling, analysis, decision, implementation, and formation of network. It was analyzed that by connecting stages of collection and evaluation of information through participation of users, new contents were produced and there was a structure that was cycled continuously.

A Study on Smoking Area Guidelines that Respect the Rights of the People - With a Focus on Independent Outdoor Smoking Areas - (국민 권리존중을 위한 흡연공간 가이드라인 연구 - 실외 독립형을 중심으로 -)

  • Lee, Byoung-Ho
    • Korean Institute of Interior Design Journal
    • /
    • v.22 no.3
    • /
    • pp.154-163
    • /
    • 2013
  • Current principles of designating a smoking area within a non-smoking area rely on mere compartmentalization. This causes non-smokers aversion against smokers and smokers complaints about anti-smoking policies, which means both of them are not satisfied with the current scheme. In addition, such a system, far from the original intent of the law, does not provide appropriate respect for people's rights. The biggest problem of the current scheme is that smoking areas are not separated from non-smoking areas. Japan has continued installing independent smoking areas since 2002 and witnessed a decrease in the smoking rate. The country's success is attributable to: the state's active intervention in connection with enterprises; continuous environmental improvements and creation of goods; 'smoking etiquette' campaigns; and the sociality and group consciousness of Japanese people. It is recognized that the synergy of the designation of independent smoking areas and such multi-faceted efforts has led to the nation's accomplishment. Hence, it is required to install independent smoking areas in non-smoking areas in Seoul in order to respect the rights of smokers and non-smokers and resolve conflicts between them. It is not suitable to merely model after Japan's case, however, studies and guidelines that are tailored to Korea's own environment and social atmosphere are required. To ensure that the people recognize the necessity for smoking areas, a social consensus is formed and proper smoking areas are established in a systemic manner, a system for that purpose should connote a symbol of the social consensus and consequent guidelines should take physical elements, human activities and semantic assignment into consideration. This study aims to present basic guidelines to install separated smoking areas, which will keep distance between smokers and non-smokers, form a social consensus and establish a sound smoking culture. These would ensure that the rights of both smokers and non-smokers are fully respected and that government policies are trusted by the people.

Effects of Social Rapport and Friendship on the Relational Outcomes (사회적 라포와 프렌드십의 관계마케팅 성과에의 영향)

  • Ahn, Jinwoo;Chun, Myung-Hwan
    • The Journal of the Korea Contents Association
    • /
    • v.13 no.1
    • /
    • pp.354-365
    • /
    • 2013
  • Service marketing is the important part in relationship marketing researches because it can make not only a functional aspect, but a social connection with customers as well through the interactive process in service encounters. Therefore, we have to examine whether or not customers' strong emotional bonds which can be created by the interaction in service encounters have influences on the variables related to relationship marketing in service. As results, social rapport and friendship as customers' strong emotional bonds were stimulated by a relational antecedent(communication), and eventually could effect on customer loyalty as a relational outcome positively. It means that customers' strong emotional bonds are critical components to lead relational outcomes in relationship marketing of service. Also, It suggests that customers' strong emotional bonds should be considered in the process from the relational efforts to relational outcomes.

A Study on the Pass Analysis of Football Game using Social Networking Analysis (사회연결망 분석을 활용한 축구경기 패스분석)

  • Lee, Hee-Hwa;Kim, Ji-Eung;Park, Jong-Chul
    • Journal of Digital Convergence
    • /
    • v.15 no.7
    • /
    • pp.479-487
    • /
    • 2017
  • The purpose of this study was to identify the most influential soccer players by appling social network analysis. The subjects were the German national soccer team and the Korean national soccer team participated in the 2016 Brazil World Cup. The pass collected data provided by FIFA were analyzed by social network analysis using the Ucinet6 program and pass success rate. The results are as follows. First, the soccer player with a lot of passes had a high connection centrality in pass-through networks and high proximity. Second, the German national soccer team has appeared key players as Phillip Lahm and Kroos player, and a key player of the Korean national soccer team was Ki,S.Y. Third, the German national soccer team's quantitative indicator value of proximity center and pass success rate appeared higher than the Korean national soccer team's.

The Context of Housing for the Old Age in Korea with Perspective of Franklin's Social Constructionism Model (프랭클린(Franklin)의 사회구성주의 모델 관점으로 본 한국의 노인주택 맥락)

  • 유병선;전경화;홍형옥
    • Journal of Families and Better Life
    • /
    • v.22 no.1
    • /
    • pp.103-114
    • /
    • 2004
  • This study was performed by the literature review on housing of the aged in Korea with social constructionism perspective. This kind of research may be utilized as a theoretical framework for performance of any systems of housing for the aged. In terms of structural context, the value of conventional custom of filial piety thoughts and duty for family are being collapsed, which nay be suitable to the change of society, should be considered for positive acceptance of changes in ideology. In terms of institutional context, a method to grope for housing for the aged should be established through amicable cooperation between organizations of legalization concerned. In terms of organizational context, there is no organization that exclusively concern housing for the aged until now, thus, development of concrete manual is required for jobs of service in current department of policy for the aged. In terms of operational context, the service may include the understanding of characteristics of the aged and design of housing may also change the service of administration, and as cooperation in the local community care systems may change the service to the aged in the field. Connection of these services and operation of these organizations nay be required in the field to manage housing. Finally in terms of intersubjective context, as the form and method of housing management service is important, with understanding of the social meaning and importance on the role of manager.

Trend Analysis of Convergence Research based on Social Big Data (소셜 빅데이터 기반 융합연구 동향 분석)

  • Noh, Younghee;Kim, Taeyoun;Jeong, Dae-Keun;Lee, Kwang Hee
    • The Journal of the Korea Contents Association
    • /
    • v.19 no.2
    • /
    • pp.135-146
    • /
    • 2019
  • This study was designed to analyze trends in the entire convergence research beyond academic research through social media big data analysis at a time when interdisciplinary convergence research is emphasized along with the fourth industrial revolution. For this purpose, about 150,000 cases of texts and titles were acquired for about 10 years from January 2009 to September 2018 in connection with the convergence research in social media, and word cloud and network analysis were conducted. As a results, the research fields that were actively conducted for each period were eco-tech in 2009 and 2010, smart technology in 2011 and 2012, information and communication in 2013 and 2014, robots in 2015 and 2016, and artificial intelligence in 2017 and 2018. Also, the research areas that have been consistently conducted for about 10 years are culture, design, chemistry, nanotechnology, biotechnology, robot, IT, and information and communication. Since this study identifies trends in convergence research over time, it can be helpful to researchers who are planning convergence research direction by understanding the trends of convergence research.

A Study on the Korea Welfare Programs for the Social Minority : Focusing on the Welfare Programs by Regions (사회적 약자를 위한 복지 프로그램에 대한 분석: 지역별 프로그램들을 중심으로)

  • Jung, Yuiryong
    • The Journal of the Convergence on Culture Technology
    • /
    • v.7 no.1
    • /
    • pp.352-363
    • /
    • 2021
  • The aim of this study is to analyze the domestic and international trends and cases of welfare programs for the social minority to provide implications for policy development. This study examined the trends of Community Care in the UK and Local Governance in Japan as overseas policy trends. In addition, along with the trend of welfare programs provided for the social minority in each region in Korea, as a domestic cases, case of Bucheon city as a case of gender policy, Daejeon city as a case of palate policy for the disabled, and Seongdong-gu, Seoul as a case of policy for children are analyzed. As implications obtained through this analysis, it was suggested that at the regional level, the demand survey appropriate to the situation of the region and the connection with the cooperative entities in various regions are important.

Sentiment Analysis on 'Non-maritalism Childbirth' Using Naver News Comments (네이버 뉴스 댓글을 활용한 '비혼출산'에 대한 감성분석)

  • Huh, Seyoung;Kim, Cho-Won;Cheong, Anyong;Lee, Sae Bom
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.1
    • /
    • pp.74-85
    • /
    • 2022
  • Along with the change in the values of marriage and the prevalence of non-marriage in Korean society, a new form of family composition called unmarried birth or non-maritalism childbirth has appeared, and social discussion in taking place in connection with the problem of a decrease in the birthrate. Using sentiment analysis and social network analysis, this research explored how the people's sentiment and perception has changed toward 'nonmarital birth.' The data used is comments on news articles from the period of November 2020 to August 2021. As a result of the study, there were a lot of positive comments during the social issue period by marriage, whereas there were many negative comments from the policy agenda to the policy making period. As a result of co-occurrence network analysis, the topic of family norm, policy, and personal aspect appeared. This study is significant in that it revealed that negative perceptions prevailed during the policy-making process after the issue of unmarried births after the issue of unmarried births, and it became a cornerstone of social discussion on unmarried births

Social Network Analysis of Changes in YouTube Home Economics Education Content Before and After COVID-19 (SNA(Social Network Analysis)를 활용한 코로나19 전후의 가정과교육 유튜브 콘텐츠 변화 분석)

  • Shim, Jae Young;Kim, Eun Kyung;Ko, Eun Mi;Kim, Hyoung Sun;Park, Mi Jeong
    • Human Ecology Research
    • /
    • v.60 no.1
    • /
    • pp.1-20
    • /
    • 2022
  • This paper presents a social network analysis of changes in Home Economics education content loaded on YouTube before and after the outbreak of COVID-19. From January 1, 2008 to June 30, 2021, a basic analysis was conducted of 761 Home Economics education videos loaded on YouTube, using NetMiner 4.3 to analyze important keywords and the centrality of video titles and full texts. Before COVID-19, there were 164 Home Economics education videos posted on YouTube, increasing significantly to 597 following the emergence of the pandemic. In both periods, there was more middle school content than high school content. The content in the child-family field was the most, and the main keywords were youth and family. Before COVID-19, a performance evaluation indicated that the proportion of student content was high, whereas after the outbreak of the disease, teacher content increased significantly due to the effect of distance learning. However, compared with video use, the self-expression and participation of users were lower in both periods. The centrality analysis indicated that in the title, 'family' exhibited a high degree of both centrality and eigenvector centrality over the entire period. Degree centrality of the video title was found to be high in the order of class, online, family, management, etc. after the outbreak of COVID-19, and the connection of keywords was strong overall. Eigenvector centrality indicated that career, search, life, and design were influential keywords before COVID-19, while class, youth, online, and development were influential keywords after COVID-19.

Detection of Depression Trends in Literary Cyber Writers Using Sentiment Analysis and Machine Learning

  • Faiza Nasir;Haseeb Ahmad;CM Nadeem Faisal;Qaisar Abbas;Mubarak Albathan;Ayyaz Hussain
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.3
    • /
    • pp.67-80
    • /
    • 2023
  • Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.