• 한국노년학
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• 제36권3호
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• pp.765-783
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• 2016

본 연구는 한국노인의 사회적 연계망 자체를 좀 더 심도있게 이해하기 위하여 2014년도 노인실태조사자료(65세 이상 10,279명)를 활용하여 관계망 크기, 연계와의 접촉 빈도, 연계에 대한 친밀도를 중심으로 잠재프로파일분석(LPA)을 실시하였다. 그 결과 노인의 사회적 연계망은 고립형(11.6%), 가족의례형(17.7%), 가족친밀형(23.6%), 제한적 다층친밀형(28.4%), 다층형(18.8%)의 다섯 개 유형으로 도출되었다. 또한 도출된 잠재집단 유형별 특징을 비교하였고, 사회적 관계망 유형에 영향을 미치는 요인을 분석하기 위한 다항로지스틱회귀분석을 실시하였다. 분석결과, 고립형 노인의 3/4은 여성이며 독거가구 비율이 약 절반을 차지하는 것으로 나타났다. 또한 상대적으로 평균연령이 높고, 도시지역에 거주하는 노인, 신체적 제한이 있는 노인, 사회적 지위가 낮은 직종에 종사한 노인이 고립형에 속할 가능성이 높은 것으로 나타났다. 반면 다층형의 경우 여성보다는 남성노인이, 연령이 낮을수록, 학력이 높을수록, 전문 관리 사무직에 종사한 노인일수록 다층형에 속할 가능성이 높았다. 한편 가족의례형과 가족친밀형은 배우자 혹은 자녀를 중심으로 연계망이 형성되어 있고, 노인부부가구의 비중이 높다는 공통점을 가지고 있으나, 가족의례형은 상대적으로 여성 비중이 높다는 특징이 있다. 그리고 제한적 다층친밀형은 배우자보다는 자녀와 친구 이웃과의 연계망의 크기, 빈도, 친밀도가 다층형 다음으로 높은 집단으로 여성노인 및 저학력이면서 농림어업에 종사한 비중이 높게 나타났다. 이러한 연구결과에 기초하여 노년기의 사회적 연계망 유형의 다양성이 갖는 학술적 및 정책적 함의와 향후 연구방향을 논의하였다.

• 한국수학교육학회지시리즈A:수학교육
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• 제52권4호
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• pp.483-496
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• 2013

In this study, we investigated the structure of the mathematics education scholars' co-authorship relationship in papers registered at the National Research Foundation of Korea by social network analysis. The data were 354 scholars from 257 papers in 4 journals from 2009 to 2013 based on 'the 2009 revised Korean National Curriculum'. For the analysis, Pajek3 and UCINET6.3 were used. The results of this study were as follows: First, each of the mathematics education scholars is connected on average with about 5 paths of intermediate collaborators. Second, Analyses of the first component group found distinguishable scholar groups' characteristics depending on their affiliations, majors, and job statuses. Third, there were scholars having high values in network degree centrality measures despite not having high numbers in published papers. On the contrary, there sere scholars having high numbers in published papers despite not having high values in network analysis. Finally, I suggested the directions for the future research with the limitations of this study.

• 한국경영과학회지
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• 제40권4호
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• pp.107-121
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• 2015

Diffusion of innovation is the process in which an innovation is communicated through certain channels over time among the members of a social system. The literatures have emphasized the importance of interpersonal network influences on individuals in convincing them to adopt innovations and thereby promoting its diffusion. In particular, the behavior of opinion leaders who lead in influencing others' opinion is important in determining the rate of adoption of innovation in a system. Centrality has been recognized as a good indicator that quantifies a node's influences on others in a given network. However, recent studies have questioned its relevance on various different types of diffusion processes. In this regard, this study aims at examining the effect of a node exhibiting high centrality on expediting diffusion of innovations. In particular, we considered the situation where two innovations compete with each other to be adopted by potential adopters who are personally connected with each other. In order to analyze this competitive diffusion process, we developed a simulation model and conducted regression analyses on the outcomes of the simulations performed. The results suggest that the effect of a node with high centrality can be substantially reduced depending upon the type of a network structure or the adoption thresholds of potential adopters in a network.

• 한국콘텐츠학회논문지
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• 제20권2호
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• pp.96-104
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• 2020

온라인 쇼핑몰의 활성화로 소비자들의 소비 활동이 활발해짐에 따라 기업들은 매출 증대를 위해 소비자의 상품 트렌드 분석을 수행하고 있다. 기존의 상품 트렌드 분석 기법들은 온라인 쇼핑몰 사용자의 활동만을 고려하여 분석하기 때문에 구매 이력이 없거나 새로운 상품에 대한 트렌드를 파악하기 어렵다. 본 논문에서는 쇼핑몰에서 사용자의 트렌드와 잠재적 고객의 트렌드를 분석하기 위해 온라인 쇼핑몰 데이터와 소셜 네트워크 데이터를 결합한 트렌드 분석 기법을 제안한다. 제안하는 기법은 서비스 내 데이터 분석을 위해 사용자의 활동로그를 분석하고 활동 로그가 없는 잠재적인 사용자들의 관심도를 반영하기 위해 소셜 네트워크 데이터에서 단어 집합 추출을 통해 생성한 핫 토픽을 결합하였다. 최종적으로 상품 지수와 소셜 네트워크에서의 언급수를 활용하여 시간에 따른 상품 트렌드 변화를 탐지한다. 소셜 네트워크 데이터를 활용한 성능 평가를 통해 제안하는 기법의 우수성을 입증한다.

• Journal of Information Technology Applications and Management
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• 제20권2호
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• pp.127-146
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• 2013

The online social networking services (SNS) have been growing as the means of communication. In this study, we investigated word-of-mouth (WOM) effect under the SNS environment and evaluated the impact of message sender's influence on the WOM effect. Especially, this study focused on the betweenness centrality calculated through the social network analysis (SNA) of SNS network information, and proposed it as the measure of WOM message sender's influence, SNA may provide more accurate and objective measures than subjective self-reporting survey method. Fifty-one Facebook users responded to each of their four Facebook friends, who had been selected based on their betweenness centrality, Statistical analyses were performed using the responses and the betweenness centralities of the Facebook friends. The results showed that the direction (positive vs, negative) of a WOM message in SNS had an impact on the attitude of the message receiver toward the product. Moreover, the betweenness centrality of the message sender as well as his/her opinion leadership had a moderating effect on the WOM effect. Opinion leadership is a measure that has been frequently used for indicating the influence of WOM message sender in the previous studies. Considering the result that the betweenness centrality of the message sender was Significantly correlated to his/her opinion leadership, the betweenness centrality can be used for indicating the influence of WOM message sender.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.137-144
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• 2023

The relevance of the research topic lies in the necessity to use social networks as innovative tools of marketing communications. A wide audience and the ability to segment the market for a specific consumer determine the construction of a corporate strategy, which will be based on using the social networking approach. The spread of the global coronavirus pandemic has led to the rapid development of remote communication channels between the company and the customer. The issue of using marketing tools in social networks acquires the most urgent importance in the modern world of the introduction and implementation of the company's marketing strategies. The purpose of the academic paper is to study the use of social networks as features of implementing the marketing campaign. Social networks are the result of the development of digital technologies and the processes of creating an information society involved in the digital space. The objectives of the research are to analyse the opportunity of using social networks as a tool for marketing communications and their implementation at the level of its widespread use by enterprises and establishments. It is significant to create an advertising campaign by defining the target audience and outlining the key aspects, on which the company is focused. The research methodology consists in determining the theoretical and methodological approaches to the essence of introducing social networks and their practical importance in the implementation of marketing activities of companies. The obtained results can significantly improve the quality of functioning of modern enterprises and organizations that plan to master a new market segment or gain competitive advantages in the existing one. The academic paper examines the essence of social networks as a tool of marketing communications. The key principles of the development of digital social platforms were revealed. The quality of implementing the advertising campaign in the social network was studied, and further prospects for the development of using social networks as a component of the marketing strategy were outlined. Therefore, the academic paper analyses the problems of using social networks as a marketing tool.

• 한국콘텐츠학회논문지
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• 제16권8호
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• pp.278-291
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• 2016

이 연구는 2006년부터 2015년까지 최근 10년간 뉴스 보도를 다룬 국내 학술 논문의 주제어에 대한 연결망을 통해 연구의 흐름과 경향을 살펴보았다. 총 1,108편의 논문에 제시된 4,410건의 주제어 연결망 분석을 실시한 결과, 국내 언론 보도를 다룬 연구에서 프레임, 의제설정, 제삼자효과, 선택적노출, 이용과충족 등이 주요 이론으로 다뤄진 것으로 나타났다. 이중 프레임에 대한 연구가 압도적으로 많았다. 연구영역으로는 정치, 경제, 과학보도, 국제뉴스 및 관광 등을 다루었으나, 문화, 스포츠 및 생활뉴스 등의 분야에 대한 연구는 나타나지 않았다. 매체별로는 전통매체와 새로운 매체에 대한 연구가 모두 활발하게 이뤄졌다. 특히 방송뉴스와 온라인뉴스 및 소셜미디어에 대한 연구가 빈번하게 나타났다.

• 한국문헌정보학회지
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• 제40권3호
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• pp.191-214
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• 2006

최근 일부 계량서지학 연구에서 사회 네트워크 분석 분야의 도구인 중심성 분석 기법을 도입하려는 시도가 나타나고 있다. 그런데 사회 네트워크를 대상으로 개발된 중심성 척도는 노드간 연결에 대한 가중치를 반영하지 않는 단점이 있다 이 연구에서는 가중 네트워크인 계량서지적 자료에 대해서 중심성을 분석할 수 있는 새로운 척도를 네 가지 제시하였다. 제안된 척도의 유용성을 검증하기 위해서 저자동시인용 네트워크. 용어 동시출현 네트워크, 웹사이트 동시링크 네트워크의 세 가지 실제 자료에 대해서 중심성 분석을 수행하였다. 분석 결과에서는 제안된 중심성 척도가 계량서지적 네트워크를 대상으로 개별 노드의 입지와 영향력을 파악하는데 있어서 매우 유용함이 확인되었다

• East Asian Economic Review
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• 제28권1호
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• pp.3-35
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• 2024

This paper utilizes social network analysis to examine the structural characteristics and trade dynamics of the renewable energy (hydropower, wind energy, and solar energy) trade network within the RCEP region from 2011 to 2020. The findings reveal: (1) The renewable energy trade network within the RCEP exhibits dynamism, heterogeneity, and an uneven development. The solar energy network is the most balanced and stable, while the wind energy network lags and shows marked fluctuations, with the hydropower network falling between these two. This demonstrates the diversity of energy trade within the region. (2) China, Singapore, and Japan are identified as the key exporting and importing countries, with Vietnam showing substantial growth potential. Individual analyses shed light on the stark disparities in trade status among nations, reflecting the diverse roles and future potential of member countries. (3) The QAP regression analysis reveals a significant influence of environmental pressure, particularly carbon dioxide emissions, on the renewable energy trade network. This study contributes to promoting environmental sustainability and energy security in the RCEP region and provides empirical evidence for global renewable energy trade strategies.

• 한국의류학회지
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• 제36권1호
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• pp.36-45
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• 2012

This study locates factors that affect the intention to use fashion SNS (social network service) and intention for word-of-mouth on fashion SNS. Independent variables were fashion shopping orientation, attitude toward innovative products, fashion leadership, and demographics. A questionnaire method was used to collect data on college students while factor analyses, multiple regression, $x^2$ analyses, and Pearson correlation coefficients were applied in analyzing data. Factor analyses resulted in four factors for fashion shopping orientation, three on attitude toward innovative products and two on fashion leadership. Multiple regression analyses showed that information compatibility of attitude toward innovative products had a significant impact on two models of intention to use fashion SNS and two models of intention for word-of-mouth on fashion SNS. Opinion leadership and gender were significant factors for two models of intention to use fashion SNS, which means that women are likely to have more intention to use fashion SNS. Meanwhile, fashion innovativeness was found to be a significant factor on two models of intention for word-of-mouth on fashion SNS. Shopping orientation factors were not important for any model. $x^2$ analyses showed that women rather than men wanted more information on online fashion shows, general fashion information, and user participation programs. Fashion major students wanted more information on online fashion shows and user participation programs than non-fashion major students.