在社会科学中的网络分析
Stephen P Borgatti1, Ajay Mehra, Daniel J Brass
1LINKS Center for Network Research in Business, Gatton College of Business and Economics, University of Kentucky, Lexington, KY 40506-0034, USA. sborgatti@uky.edu
概括
社会网络分析为许多学科的社会现象提供了有价值的解释. 本综述涵盖了物理和社会科学研究人员的应用,假设和目标.
科学领域:
- 社会科学 社会科学 社会科学
- 物理科学 物理科学
- 跨学科研究 跨学科研究
背景情况:
- 在过去的十年中,网络研究在科学学科的普及度急剧增加.
- 社会网络理论为各种社会现象提供解释,影响从心理学到经济学的各个领域.
- 社会网络分析 (SNA) 越来越多地用于了解社会结构和互动.
研究的目的:
- 审查社交网络分析在社会科学中的应用.
- 描述SNA的核心假设,目标和机制.
- 促进关于网络现象的跨学科对话.
主要方法:
- 关于社交网络分析应用的文献综述.
- 综合SNA中的关键概念和方法.
- 在社交网络研究中确定共同的解释框架.
主要成果:
- SNA已被应用于解释广泛的社会现象.
- 常见的假设包括关系和结构的重要性.
- 解释机制往往侧重于扩散,影响和结构等价性.
结论:
- 社交网络分析是了解社会行为的强大工具.
- 进一步的跨学科合作可以推进网络科学.
- 了解网络的先例和后果对于科学进步至关重要.
相关概念视频
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