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소셜네트워크서비스 사용자 패턴 발견에 관한 연구 : 페이스북 사용자의 소셜네트워크분석을 중심으로
하병국(ByungKook Ha),이덕규(De Kui Li),조재희(JaeHee Cho) 한국IT서비스학회 2011 한국IT서비스학회 학술대회 논문집 Vol.2011 No.9
To date, there has been minimal research regarding cases of Social Network Service using Analysis Tool. This study performed comparative analysis of the personal pages and the community page on Facebook.. Data were collected from K university community Facebook.. NodeXL was used for Network analysis. There are seversl sub-group, and its sub-groups had a different type of shape. The result showed that there is difference between individuals and sub-groups. we can also visually identified it.
Centrality Degree, Opinion Leadership, and WOM of Nodes in Social Network Sites
DeKui Li,ByungKook Ha,JeeHee Cho 한국경영정보학회 2011 한국경영정보학회 학술대회논문집 Vol.2011 No.1
The WOM (Word-of-Mouth) is uncertain and uncontrollable, so marketers' interest turns to managing personal network in hope of managing WOM. In this regard, opinion leadership and social network analysis have become pivotal issues of WOM management. Central nodes, members having direct contacts with a great number of other members, play an important role in the WOM transmission as they can widely circulate information. Centrality degree, the counting of contacts of a node, is a sociometric technique used as a proxy for opinion leadership in lieu of a self-report method. In this paper, we have two purposes. First, we introduce two variables, centrality degree and prominence degree to jointly identify the true opinion leaders. While the centrality degree indicates the coverage capacity of opinion leaders, the prominence degree signifies the quality that the observed individuals' ideas and opinions are sought. Second, we attempt to reveal the behavior of opinion leaders regarding the WOM diffusion in that they generate as much NWOM as PWOM, as an evident of their unbiased opinion provisions.
소셜네트워크 서비스 사용자 패턴 발견을 위한 사회 네트워크 분석 활용에 관한 연구: 페이스북을 중심으로
하병국,장용수,조재희,Ha, ByungKook,Jang, Youngsoo,Cho, JaeHee 서비스사이언스학회 2012 서비스연구 Vol.2 No.1
개인의 소셜네트워크 서비스 활용의 증가는 기업의 비즈니스 활동에 새로운 기회로 주목 받고 있으며 소셜네트워크 서비스 관련연구 또한 많은 관심을 받고 있다. 본 연구는 사회네트워크분석을 통하여 소셜네트워크 서비스 사용자패턴을 발견하고자 한다. 그리고 사용자의 사용목적에 따른 네트워크의 패턴을 구분하고자 한다. 이를 위해 네트워크분석 도구인 NodeXL을 이용하여 소셜 네트워크 서비스 중 페이스북(Facebook.com)의 사용자를 분석하였다. 그 결과 단일 네트워크로 인식되었던 사용자의 네트워크를 여러 개의 하위그룹으로 구분할 수 있었다. 그리고 개인사용자의 페이스북 친구와 국내 K대학의 페이스북 친구를 비교하여 소셜네트워크 서비스의 사용목적에 따른 네트워크 구조의 차이를 발견하고 노력 하였다. Companies see a new business opportunity in the increased popularity of social network services and the related studies are also gaining more attention. This study attempted to analyze the social networks and thereby find a pattern in the use of social network services. Network users' pattern has been categorized by their purpose of use. Among various social network services, we selected the Facebook and its users were analyzed by a network analysis tool called NodeXL. In the end, several subgroups have been identified in a seemingly homogeneous network. Furthermore, the network shape differences according to the usage of social network services has been studied by comparing "friends" of an individual Facebook user with those of the K University Facebook page.
고객군의 지리적 패턴 발견을 위한 데이터마트 구현과 시각적 분석에 관한 연구
조재희(JaeHee Cho),하병국(ByungKook Ha) 한국IT서비스학회 2010 한국IT서비스학회지 Vol.9 No.1
Due to the development of information technology and business related to geographical location of customer, the need for the storage and analysis of geographical location data is increasing rapidly. Geographical location data have a spatio-temporal nature which is different from typical business data. Therefore, different methods of data storage and analysis are required. This paper proposes a multi-dimensional data model and data visualization to analyze geographical location data efficiently and effectively. Purchase order data of an online farm products brokerage business was used to build prototype datamart. RFM scores are calculated to classify customers and geocoding technology is applied to display information on maps, thereby to enhance data visualization