Publications
Detailed Information
Computational social network analysis from the perspective of statistical physics : 통계 물리학의 관점에서 바라본 계산적 사회 연결망 분석
Cited 0 time in
Web of Science
Cited 0 time in Scopus
- Authors
- Advisor
- 강병남
- Issue Date
- 2013-08
- Publisher
- 서울대학교 대학원
- Description
- 학위논문(박사)--서울대학교 대학원 :자연과학대학 물리학과,2013. 8. 강병남.
- Abstract
- In this thesis, we study three different systems in relations with social phenomena. Two of them are empirical studies on social networks and the other one is a model of self-organized criticality. In Chapter 1, we introduce recent attention of physicists on social phenomena. In Chapter 2, we study time evolution of coauthorship networks. Coauthorship network is a kind of social network of scientific communities. The study contains the first observation and analysis of early stage of social network evolution. In Chapter 3, we study bipartite network of legislators and their followers in Twitter. It reveals a gap between the real ideological positions of legislators and perceived ones by Twitter users. It also shows political biases of Twitter users who follow legislators. The study is an example of the methods based on objective behavior of individuals that overcomes shortcomings of survey based methods. In Chapter 4, we study the Drossel-Schwabl forest fire model on scale-free networks. The model can be a simple model of social crisis such as financial crisis. It was proposed as a non-conservative model of self-organized criticality but has been shown that its scaling behavior is suspicious. However, the model running on scale-free networks shows unexpected scaling behavior.
- Language
- eng
- Files in This Item:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.