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http://dx.doi.org/10.3745/KIPSTD.2009.16D.6.851

Mobbing-Value Algorithm based on User Profile in Online Social Network  

Kim, Guk-Jin (국방대학교 전산정보학과)
Park, Gun-Woo (국방대학교 전산정보학과)
Lee, Sang-Hoon (국방대학교 전산정보학과)
Publication Information
The KIPS Transactions:PartD / v.16D, no.6, 2009 , pp. 851-858 More about this Journal
Abstract
Mobbing is not restricted to problem of young people but the bigger recent problem occurs in workspaces. According to reports of ILO and domestic case mobbing in the workplace is increasing more and more numerically from 9.1%('03) to 30.7%('08). These mobbing brings personal and social losses. The proposed algorithm makes it possible to grasp not only current mobbing victims but also potential mobbing victims through user profile and contribute to efficient personnel management. This paper extracts user profile related to mobbing, in a way of selecting seven factors and fifty attributes that are related to this matter. Next, expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and through this summation Mobbing-Value(MV) can be calculated . Finally by mapping MV of online social network users to G2 mobbing propensity classification model(4 Groups; Ideal Group of the online social network, Bullies, Aggressive victims, Victims) which is designed in this paper, can grasp mobbing propensity of users, which will contribute to efficient personnel management.
Keywords
Online Social Networks; Mobbing-Value; User Profile; G2 Mobbing Propensity Classification Model;
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1 박경규, 최항석, “직장내 집단따돌림의 선행요인에 관한 연구”, 서강대학교, 동덕여자대학교, pp.1-10, 2007
2 유지은, “소셜 소프트웨어 : Beyond 컨슈머, Go 엔터프라이즈”, Web Trend 보고서, KIPA, pp. 8-13, 2008년 7월호
3 마크스미스 외, 조동기 역 “사이버공간과 공동체”, 나남출판, pp.186, 2001
4 Jure Leskovec, Eric Horvitz. “Worldwide Buzz ; Planetary-Scale Views on an Instant-Messaging Network,” Microsoft Research Technical Report MSR-TR-2006 -186, pp.1-5, 2007
5 David Kempe, Jon Kleinberg, Eva Tardos. “Maximizing the Spread of Influence through a social,” SIGKDD 2003
6 신동호, “Latent Semantic Analysis를 이용한 내 용기반 정보검색 시스템”, 서울대학교, pp.17-26, 2000
7 김국진, 박건우, 이상훈. “Social Network 기반 Mobbing 지수산정 알고리즘 및 분류 모델 설계”, 한국 정보처리학회 춘계세미나, 2009
8 김광숙, “상사의 차별적 행동이 부하직원들간 상호작용에 미치는 효과”, 전남대학교, pp.1-25, 2006
9 오정운, 박건우, 이상훈. “소셜 관계 랭크 및 토픽기반-소셜 관계 랭크 알고리즘; 소셜 검색을 향해”, pp.364-367, 한국정보처리학회 춘계 세미나, 2009
10 Zapf, Dieter; Knorz, Carmen; Kulla, Matthias “ On the Relationship between Mobbing Factors, and Job Content, Social Work Environment, and Health Outcomes,” European Journal of Work & Organizational Psychology. pp.215-237, 1996   DOI
11 최재승, 박경규, “조직 내 따돌림의 원인과 결과에 관한 연구- 조직을 대상으로”, 서강대학교대학원, pp.12-30, 2007
12 박경규, “조직내 집단 따돌림과 조직행동”, 제16-2집 경영논총, pp.115, 2006
13 Michele Mouttapa, Tom valente et al, Peggy Gallaher, Louise Ann Rohrbach, Jennifer B. “Social network predictors of bullying and victimization,” University of Southern Califonia, 39(154); pp.315-35, 2004, Summer
14 김용학. “사회 연결망 분석”, 전영사, 2003
15 김종규, 오승환. “Human Network의 친밀성 요소 분석을 통한 정보 표현 연구”, 국민대학교 대학원, pp. 10-16, 2005
16 HaiQiang Chen, Xueqi Cheng, Yue Liu. “Finding Core Members in Virtual Communities,” pp.1233-1234, www 2008
17 최항석, 임효창, “직장내 직무따돌림이 종업원의 직무 태도에 미치는 영향”, 대한경영학회 추계학술발표대회 발표논문집, pp.21-44, 2005
18 Parag Singla “Yes, there is a correlation-From Social Networks to Personal Behavior on the web,” pp.655-656, www2008
19 Dieter Zapf and Claudia Gross Johann Wolfgang Goethe-University, Frankfurt, Germany, “Conflict escalation and coping with workplace bullying; A replication and extension,” EUROPEAN JOURNAL OF AND ORGANIZATIONAL PSYCHOLOGY, 10(4), pp.497-522, 2001   DOI   ScienceOn
20 Dieter Zapf Johann Wolfgang Goethe-University, Frankfurt, Germany “Organisational, work group related and personal causes of mobbing/bullying at work” , International Journal of Manpower, pp.70-85, 1999   DOI   ScienceOn