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Analysis of Social Apps diffusion on network platforms: an Agent-based model approach
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 박용태 | - |
dc.contributor.author | 노은지 | - |
dc.date.accessioned | 2017-07-14T03:23:08Z | - |
dc.date.available | 2017-07-14T03:23:08Z | - |
dc.date.issued | 2013-08 | - |
dc.identifier.other | 000000013270 | - |
dc.identifier.uri | https://hdl.handle.net/10371/123559 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 산업공학과, 2013. 8. 박용태. | - |
dc.description.abstract | As competition in application service market grows fierce, services connected to social network platform(Social Apps) are beginning to receive highlighted attention. Those new type of services, defined as Social Apps in this study, differ from existing application services in terms of diffusion in three aspects: interaction among users, heterogeneity of users and effect of network characteristics in platform. Among three characteristics of Social App diffusion, this study focuses on interaction level and network characteristics of service platform. To fully explore their effect in diffusion of Social App, a simulation tool called Agent-based modeling(ABM) is employed. As a simulation tool to observe emergent phenomenon by describing simple rules of agent behavior, ABM fits the examination of Social App diffusion. Applying ABM, this research aims to achieve two goals. First, diffusion rate of Social App and non-Social App is compared. Second, effects of network characteristics in diffusion of Social Apps with different interaction level are examined. The present study is the first academic research to address the new type of application service, Social Apps. Contribution of this study lies in suggesting the definition of Social Apps and in exploring diffusion of Social Apps in application of ABM. Furthermore, the research results are expected to help developers and managers in marketing strategy for new Social App services. | - |
dc.description.tableofcontents | 1. Introduction 1
2. Literature Review 4 2.1 Innovation diffusion studies 4 2.2 ABM applied in diffusion studies 5 3. Social Apps 6 3.1 Definition of Social App 6 3.2 Interactions for Social Apps 7 3.3 Network characteristics and Social App 10 4. Research Framework 9 5. ABM Simulation Design 13 5.1 Agent behavior 13 5.2 Agent property 15 5.3 Agent environment 16 6. Calibration 17 7. Experiment: Social App vs. non-social App 19 7.1 Simulation design 19 7.2 Results 22 8. Experiment: Interaction-based Social App vs. Signal-based Social App 23 8.1 Simulation design 24 8.2 Simulation results 26 8.2.1 26 8.2.2 27 9. Conclusion 30 Bibliography 32 | - |
dc.format | application/pdf | - |
dc.format.extent | 9708817 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Social App | - |
dc.subject | Diffusion | - |
dc.subject | Agent-based modeling | - |
dc.subject | Social network | - |
dc.subject | Application service | - |
dc.subject.ddc | 670 | - |
dc.title | Analysis of Social Apps diffusion on network platforms: an Agent-based model approach | - |
dc.type | Thesis | - |
dc.description.degree | Master | - |
dc.citation.pages | v, 43 | - |
dc.contributor.affiliation | 공과대학 산업공학과 | - |
dc.date.awarded | 2013-08 | - |
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