• 제목/요약/키워드: Social network information

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Social Network 기반 Mobbing 지수 산정 알고리즘 및 분류 모델 설계 (Design of Mobbing Value Computation Algorithm and Classification Model based on Social Network)

  • 김국진;박건우;이상훈
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2009년도 춘계학술발표대회
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    • pp.352-355
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    • 2009
  • 본 논문에서는 Mobbing(집단 따돌림) 현상에 관련된 7개의 요소(Factor)와 그 하위에 포함된 60개의 속성(Attribute)들을 선정한다. 다음으로 선정한 속성들에 대해 나와 사용자들 사이에 관계가 있으면 '1', 관계가 없으면 '0'으로 표현하고, 나와 사용자들간의 유사도 산정을 위해 각 요소안에 포함된 속성들의 합에 유사도 함수를 적용한다. 다음으로 클레멘타인의 인공신경망 알고리즘을 통해 속성들을 포함한 요소들이 취할 최적의 가중치를 산출하고, 이 값들의 총합으로 Mobbing 지수를 산정한다. 마지막으로 Social Network 사용자들의 Mobbing 지수를 본 논문에서 설계한 G2 Mobbing 성향 분류 모델(4개의 그룹; Ideal Group of the Social Network, Bullies, Aggressive victimes, Victimes)에 매핑하여 사용자들의 Mobbing 성향을 알아본다.

사물인터넷 환경에서 새로운 사용자를 고려한 정보 추천 기법 (Recommendation Method considering New User in Internet of Things Environment)

  • 권준희;김성림
    • 디지털산업정보학회논문지
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    • 제13권1호
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    • pp.23-35
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    • 2017
  • With the popularization of mobile devices, the number of social network service users is increasing, thereby the amount of data is also increasing accordingly. As Internet of Things environment is expanding to connect things and people, there is information much more than before. In such an environment, it becomes very important to recommend the necessary information to the user. In this paper, we propose a recommendation method that considers new users in IoT environment. In the proposed method, we recommend the information by applying the centrality-based social network analysis method to the recommendation method using the social relationships in the social IoT. We describe the seven-step recommendation method and apply them to the music circle scenario of the IoT environment. Through the music circle scenario, we show that we can recommend more suitable information to new users in the IoT environment than the existing recommendation method.

조직구성원의 개인-환경적합성과 정보시스템 수용요인이 성과에 미치는 영향에 관한 연구: 사회자본의 매개역할 (A Study on the Impact of Employee's Person-Environment Fit and Information Systems Acceptance Factors on Performance: The Mediating Role of Social Capital)

  • 허명숙;천면중
    • Asia pacific journal of information systems
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    • 제19권2호
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    • pp.1-42
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    • 2009
  • In a knowledge-based society, a firm's intellectual capital represents the wealth of ideas and ability to innovate, which are indispensable elements for the future growth. Therefore, the intellectual capital is evidently recognized as the most valuable asset in the organization. Considered as intangible asset, intellectual capital is the basis based on which firms can foster their sustainable competitive advantage. One of the essential components of the intellectual capital is a social capital, indicating the firm's individual members' ability to build a firm's social networks. As such, social capital is a powerful concept necessary for understanding the emergence, growth, and functioning of network linkages. The more social capital a firm is equipped with, the more successfully it can establish new social networks. By providing a shared context for social interactions, social capital facilitates the creation of new linkages in the organizational setting. This concept of "person-environment fit" has long been prevalent in the management literature. The fit is grounded in the interaction theory of behavior. The interaction perspective has a fairly long theoretical tradition, beginning with proposition that behavior is a function of the person and environment. This view asserts that neither personal characteristics nor the situation alone adequately explains the variance in behavioral and attitudinal variables. Instead, the interaction of personal and situational variables accounts for the greatest variance. Accordingly, the person-environment fit is defined as the degree of congruence or match between personal and situational variables in producing significant selected outcomes. In addition, information systems acceptance factors enable organizations to build large electronic communities with huge knowledge resources. For example, the Intranet helps to build knowledge-based communities, which in turn increases employee communication and collaboration. It is vital since through active communication and collaborative efforts can employees build common basis for shared understandings that evolve into stronger relationships embedded with trust. To this aim, the electronic communication network allows the formation of social network to be more viable to rapid mobilization and assimilation of knowledge assets in the organizations. The purpose of this study is to investigate: (1) the impact of person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) on social capital(network ties, trust, norm, shared language); (2) the impact of information systems acceptance factors(availability, perceived usefulness, perceived ease of use) on social capital; (3) the impact of social capital on personal performance(work performance, work satisfaction); and (4) the mediating role of social capital between person-environment fit and personal performance. In general, social capital is defined as the aggregated actual or collective potential resources which lead to the possession of a durable network. The concept of social capital was originally developed by sociologists for their analysis in social context. Recently, it has become an increasingly popular jargon used in the management literature in describing organizational phenomena outside the realm of transaction costs. Since both environmental factors and information systems acceptance factors affect the network of employee's relationships, this study proposes that these two factors have significant influence on the social capital of employees. The person-environment fit basically refers to the alignment between characteristics of people and their environments, thereby resulting in positive outcomes for both individuals and organizations. In addition, the information systems acceptance factors have rather direct influences on the social network of employees. Based on such theoretical framework, namely person-environment fit and social capital theory, we develop our research model and hypotheses. The results of data analysis, based on 458 employee cases are as follow: Firstly, both person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) and information systems acceptance factors(availability perceived usefulness, perceived ease of use) significantly influence social capital(network ties, norm, shared language). In addition, person-environment fit is a stronger factor influencing social capital than information systems acceptance factors. Secondly, social capital is a significant factor in both work satisfaction and work performance. Finally, social capital partly plays a mediating role between person-environment fit and personal performance. Our findings suggest that it is vital for firms to understand the importance of environmental factors affecting social capital of employees and accordingly identify the importance of information systems acceptance factors in building formal and informal relationships of employees. Firms also need to reflect their recognition of the importance of social capital's mediating role in boosting personal performance. Some limitations arisen in the course of the research and suggestions for future research directions are also discussed.

모바일 소셜 네트워크 게임 사용자의 이타주의적 행위가 게임 지속성에 미치는 영향: 사회 관계적 자본의 매개효과를 중심으로 (The Effect of Mobile Network Social Gamers' Altruism on Continuous Usage Intention: The Mediating Effect of Social Relational Capital)

  • 채성욱;강윤정
    • 한국정보시스템학회지:정보시스템연구
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    • 제25권1호
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    • pp.201-223
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    • 2016
  • Purpose As social network games (SNG) enjoy rapid growth in the market and become a major sector of the gaming industry, it is of great interest to examine the how users continuously use SNG. In SNG, the users' social interaction is the most prominent advantage of the social network, as well as the entertainment afforded by the game. This study explores the relationship between altruism, which is considered the most prominent characteristic of SNS, and the continuance usage intention, as well as the moderating role of social capital. Based on social capital theory and organizational citizenship behavior, this research model considers social bonding and bridging that are divided by social capital. Design/methodology/approach An AMOS analysis based on survey data from 223 SNG users indicated that SNG with greater altruism enhance social capital (social bonding, social bridging), which is related to the user's satisfaction and the continuance intention of SNG. Findings Social bonding is positively related to the user's satisfaction with SNG. In other words, social bridging positively affects the continuous usage intention of SNG. These findings help managers in developing and implementing altruistic relationships and social capital for continuous usage of SNG.

사회연결망정보를 고려하는 SVD 기반 추천시스템 (Recommender Systems using SVD with Social Network Information)

  • 김민건;김경재
    • 지능정보연구
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    • 제22권4호
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    • pp.1-18
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    • 2016
  • 협업필터링은 사용자의 선호도 평가자료를 이용하여 특정 사용자의 특정 상품에 대한 선호도를 예측하고 이를 이용하여 유사한 사용자에게 상품을 추천한다. 협업필터링은 전자상거래에서의 정보 과잉현상을 줄여 주기에 가장 인기 있는 개인화 기법이다. 그러나 협업필터링은 희소성과 확장성 문제 등을 가지고 있다. 본 연구에서는 희소성과 확장성 문제와 같은 협업필터링의 주요 한계점을 보완하고 추천과정에 사용자의 정성적이고 감성적인 정보를 반영하도록 하기 위하여 사회연결망 정보와 협업필터링을 접목하는 방안을 이용한다. 본 논문에서는 특이값 분해에 내재적인 정보를 반영할 수 있도록 확장한 SVD++에 사회연결망 정보를 고려할 수 있도록 한 Social SVD++ 알고리듬을 협업필터링에 접목한 새로운 추천 알고리듬을 이용한다. 특히, 본 연구는 추천과정에 실제 사용자의 사회연결망 정보를 반영하여 모형의 성과를 평가할 것이다.

유비쿼터스 환경에서 소셜 검색을 위한 레벨화된 데이터 처리 기법 (Levelized Data Processing Method for Social Search in Ubiquitous Environment)

  • 김성림;권준희
    • 디지털산업정보학회논문지
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    • 제10권1호
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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.

지식 공유에 대한 소셜 네트워크 접근법 : 어떻게 소셜 네트워크의 구조와 특징이 지식 공유를 지원하는가? (Social Network Approach for Sharing Knowledge: How Can the Structure and Characteristics of Social Networks Support for Sharing Knowledge?)

  • 이정수
    • 정보관리학회지
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    • 제27권2호
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    • pp.61-74
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    • 2010
  • 지식관리 프로세스에서 지식공유는 지식의 생성 및 분배에 많은 영향을 주고 있다. 특히, 지식기반 정보기술 환경이 트위터와 같은 소셜미디어 정보서비스 등의 라이브러리 2.0 서비스를 중심으로 지식유통이 활성화되고 있다. 지식공유의 영향 요소에 사회연결망 구조 및 특징에 대한 네트워크의 관계 요소가 조직의 지식공유 활성화를 위한 중요한 요인으로 인식되고 있다. 본 연구는 자기조직화를 통해 유기체와 같이 성장하고 있는 조직 내부의 사회연결망의 구조 및 특성을 사회연결망 분석도구와 다중회귀분석을 통해 1) 사회연결망의 연결구조와 지식공유와의 관계, 2) 구조적 공백과 중심성의 지식공유 영향도, 3) 개인적인 능력, 정보기술 및 업무 인식과 지식공유 관계를 분석하였다.

Local Centers of the Social Network

  • Huh, Myung-Hoe
    • Communications for Statistical Applications and Methods
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    • 제18권2호
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    • pp.213-217
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    • 2011
  • For the social network of n nodes, one might be interested in finding k nodes to disseminate the information as quickly as possible or to identify key nodes of high "local centrality". I propose two algorithms for determining k "local centers" of the network and work on a real case.

가족의 사회관계망 유형화 연구 - 도시 핵가족 주부를 중심으로 - (A Study on the Types of Social Networks of Housewives in Urban Nuclear Families)

  • 원효종;옥선화
    • 가정과삶의질연구
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    • 제20권4호
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    • pp.149-164
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    • 2002
  • The purpose of this study was to identify the types of social networks of urban housewives according to different network composition patterns and to analyze the structural and functional characteristics of identified types. The data used in this study were collected from 589 full-time housewives residing in Taejeon city. The major findings are as follows: 1) The social networks of housewives in urban nuclear families were classified into eight types: the kin network, the non-kin network, the kin-centered network, the friend-centered network, the neighbor-centered network, the associate-centered network, the parallel network, and the decentralized network. 2) The structual characteristics (size, density, homogeneity, duration, proximity, frequency, closeness, direction) varied according to the type. The kin network type and the non-kin network type showed extreme degrees in network characteristics. The parallel network type and the decentralized network type showed an average level of network characteristics. The kin-, friend-, neighbor-, and the associate-centered types showed network characteristics of an intermediate level between the single-category types and the decentralized type. 3) The average levels of function of social network types were different in only two(service support, interference) of the six function areas(emotional support, service support, material support, information support, social companionship support, interference). The average level of service support by the non-kin network type was higher than other types. The average level of interference by the kin-centered network type was higher than other types, and that of the neighbor-centered network type was lower than other types. On the other hand, the total amount of function performance of social network types was different in all function areas. The total amount of social support given by the decentralized network type was greater than the other types. The total amount of interference given by the non-kin network type was smaller than the other types.

Does the Use of Social Network Sites and Mobile Phones Promote the Acquisition of Job-Related Information, Job Mobility and Entrepreneurship in Asia?

  • Skoric, Marko M.;Ji, Pan;Fu, Wayne Wei-Jen;Sim, Clarice Chwei Lin;Park, Yongjin
    • Journal of Contemporary Eastern Asia
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    • 제14권1호
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    • pp.5-22
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    • 2015
  • This study examines how different uses of social network sites (SNS) and mobile phones (MP) to communicate with friends and business associates are related to the acquisition of job-related information, job mobility, and entrepreneurial intentions, using social capital as its main theoretical lens. To this end, a nationally representative, random digit dialing (RDD) survey was conducted in Singapore. Path analyses show that SNS interactions with friends are positively related to both bonding and bridging social capital. The former is linked with greater job mobility, the latter with entrepreneurship, and both are associated with more job-related information. SNS interactions with business contacts are directly positively related to job-related information and entrepreneurship. For mobile phones, interactions with friends are positively related to social capital, job information and entrepreneurship. Professional networking is associated with more bridging social capital, job information and job mobility. Bonding capital is found to be linked with greater job mobility, while bridging capital has a positive relationship with both entrepreneurship and job mobility.