DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Oh, Hae-Yun | - |
dc.contributor.advisor | 오혜연 | - |
dc.contributor.author | Kang, Bum-Soo | - |
dc.contributor.author | 강범수 | - |
dc.date.accessioned | 2015-04-23T06:16:10Z | - |
dc.date.available | 2015-04-23T06:16:10Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=567062&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/196865 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학과, 2013.8, [ v, 26 p. ] | - |
dc.description.abstract | Facebook contains a large amount of data which can be used for research on interpersonal behavior patterns. However, there has been almost no research on computationally analyzing Facebook data to predict interpersonal behavior. I begin our inquiry into this problem with attachment theory, which conceptualizes how people form relationships with others. In this paper, I seek to reveal how Facebook users` behavior patterns such as status updates and photo albums are related to attachment style. I describe our dataset of 682 Facebook users, their attachment scale survey results, and their 657,057 posts. I define four key features: social capacity, openness, self-disclosure, and emotional disclosure. By analyzing the two dimensions of attachment, anxiousness and avoidance using the four key features, I find significant correlations between the users` attachment style and their Facebook behaviors. The implication is that a computational analysis of a Facebook user`s activities alone can reveal the attachment style of that user without the self-reported survey questionnaire of attachment scale. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Personality | - |
dc.subject | Social Network | - |
dc.subject | 애착이론 | - |
dc.subject | 성향 | - |
dc.subject | Attachment Theory | - |
dc.subject | 소셜미디어 | - |
dc.title | Attachment theory and facebook activities | - |
dc.title.alternative | 애착이론을 통한 소셜미디어 행동패턴 분석 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 567062/325007 | - |
dc.description.department | 한국과학기술원 : 전산학과, | - |
dc.identifier.uid | 020113007 | - |
dc.contributor.localauthor | Oh, Hae-Yun | - |
dc.contributor.localauthor | 오혜연 | - |
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