Publications
Detailed Information
Variable Internal Cohesion and Epistemic Community Influence: The Arctic Climate Impact Assessment Report
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Lee, Geun | - |
| dc.contributor.author | Gaute Friis | - |
| dc.date.accessioned | 2017-10-31T07:47:48Z | - |
| dc.date.available | 2017-10-31T07:47:48Z | - |
| dc.date.issued | 2017-08 | - |
| dc.identifier.other | 000000146602 | - |
| dc.identifier.uri | https://hdl.handle.net/10371/137531 | - |
| dc.description | 학위논문 (석사)-- 서울대학교 국제대학원 국제학과, 2017. 8. Lee, Geun. | - |
| dc.description.abstract | This analysis seeks to test an emerging theory of epistemic community influence. The theory posits that higher internal cohesion amongst members of an epistemic community will garner the community more political influence (Cross 2013).
Taking advantage of a large citation database, as well as other open source datasets, this thesis produces a complex, undirected, weighted, multilevel (tripartite), temporal, spatially distributed graph of global scientific collaboration in Arctic research. Using concepts developed in the Social Network Analysis (SNA) literature, this thesis operationalizes cohesion, and seeks to test its effect on one specific case of an epistemic community: the group of researchers who collaborated on the influential Arctic Climate Impact Assessment report (ACIA 2005). The results contests the original hypothesis and opens for a more complex understanding of the effect of internal cohesion on an epistemic communitys political influence. | - |
| dc.description.tableofcontents | I Purpose and Background 1
1 Science and diplomacy 1 2 Methodological development 2 II Research Question and Case Selection 4 1 Research question 4 2 Case selection: The Arctic Climate Impact Assessment Report 5 III Literature Review 8 1 Epistemic communities 8 2 Graph Theory: 12 3 Social Network Analysis (SNA): 13 IV Methodology 15 1 Research design 15 2 Data retrieval 16 3 Data management 17 3-1 Clustering methods and algorithms 18 4 Graph creation 22 5 Social Network Analysis (SNA) 24 5-1 Network measures 24 5-2 Permutation tests 30 5-3 Graph simplification 33 V Analysis 34 1 The research network 34 2 Results of the permutation tests 37 3 Discussion 39 3-1 Clustering Coefficient 39 3-2 Alternative hypothesis 39 VI Limitations 41 1. Graph structure 41 2. Limited scope 41 3. Data integrity 41 4. Only one mode of collaboration captured 42 5. Strong assumptions underlie the research 42 VII Conclusion 43 1. Summary 43 2. Future research 43 IX References 46 | - |
| dc.format | application/pdf | - |
| dc.format.extent | 2191939 bytes | - |
| dc.format.medium | application/pdf | - |
| dc.language.iso | en | - |
| dc.publisher | 서울대학교 국제대학원 | - |
| dc.subject | epistemic community | - |
| dc.subject | social network analysis | - |
| dc.subject.ddc | 327.17 | - |
| dc.title | Variable Internal Cohesion and Epistemic Community Influence: The Arctic Climate Impact Assessment Report | - |
| dc.type | Thesis | - |
| dc.description.degree | Master | - |
| dc.contributor.affiliation | 국제대학원 국제학과 | - |
| dc.date.awarded | 2017-08 | - |
- Appears in Collections:
- Files in This Item:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.