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Applications of Computational Method...
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Conway, Andrew.
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Applications of Computational Methods in Political Science.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Applications of Computational Methods in Political Science./
作者:
Conway, Andrew.
面頁冊數:
173 p.
附註:
Source: Dissertation Abstracts International, Volume: 74-12(E), Section: A.
Contained By:
Dissertation Abstracts International74-12A(E).
標題:
Political Science, General. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3591186
ISBN:
9781303317347
Applications of Computational Methods in Political Science.
Conway, Andrew.
Applications of Computational Methods in Political Science.
- 173 p.
Source: Dissertation Abstracts International, Volume: 74-12(E), Section: A.
Thesis (Ph.D.)--New York University, 2013.
The discipline of political science is undergoing a great methodological transformation. As is often the case, this transformation is being spurred by changes in technology. The application of computational methods to the study of political science has a long tradition, but only in the last few years has there been so much opportunity for disciplinary innovation at the confluence of core political science research problems and computational methods. The following thesis reviews three primary technologies that are rapidly changing the way political science research is being conducted, and through explicit experimentation attempts to highlight their value to the discipline.
ISBN: 9781303317347Subjects--Topical Terms:
1017391
Political Science, General.
Applications of Computational Methods in Political Science.
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Source: Dissertation Abstracts International, Volume: 74-12(E), Section: A.
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Adviser: Michael Laver.
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Thesis (Ph.D.)--New York University, 2013.
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The discipline of political science is undergoing a great methodological transformation. As is often the case, this transformation is being spurred by changes in technology. The application of computational methods to the study of political science has a long tradition, but only in the last few years has there been so much opportunity for disciplinary innovation at the confluence of core political science research problems and computational methods. The following thesis reviews three primary technologies that are rapidly changing the way political science research is being conducted, and through explicit experimentation attempts to highlight their value to the discipline.
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The first chapter attempts to understand how the ex ante structure of social networks can influence how agents play collective action games. Traditionally, one might interrogate this line of research through fieldwork, or lab experiments; however, my approach is to build a computer simulation to test many more networks. These simulations show that these structures have a strong and meaningful effect on how agents play these games.
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The second chapter seeks to understand how social networks change over time. To do this, I specify a new method for modeling this change based on graph motifs, and introduce software for generating networks this way. First, the model is tested against a set of classic generative network models. Then, a time-series dataset of a large social network is collected to test how well the method can model change in a real-world network. The method performs well at generating both theoretical and real-world networks.
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In the final chapter I address the classic political science problem of generating quantitative values from qualitative text data. The innovative technology introduced here is crowd-sourcing, in which a large pool of non-experts collectively contribute small amounts of work to a large coding project. In contrast to traditional methods of hand-coding, or automated machine coding, I show how crowd-sourcing is a viable -- and in some ways -- superior method for encoding text data.
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It is critical that the discipline begin to engage with new computational methods now in order to further develop methodologically.
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