“社会动力学”的版本间的差异

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此词条暂由彩云小译翻译，翻译字数共335，未经人工整理和审校，带来阅读不便，请见谅。
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本词条由11初步翻译
  
 
{{Use dmy dates|date=July 2012}}
 
{{Use dmy dates|date=July 2012}}
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{{sociology}}
 
{{sociology}}
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社会学
  
 
{{Complex systems}}
 
{{Complex systems}}
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复杂系统
  
 
'''Social dynamics''' (or '''sociodynamics''') is the study of the behavior of groups that results from the interactions of individual group members as well to the study of the relationship between individual interactions and group level behaviors.<ref name=durlauf>{{cite book|last=Durlauf|first=Steven|last2=Young|first2=Peyton|title=Social Dynamics|year=2001|publisher=MIT Press|location=Cambridge, MA|isbn=0-262-04186-3}}</ref>  
 
'''Social dynamics''' (or '''sociodynamics''') is the study of the behavior of groups that results from the interactions of individual group members as well to the study of the relationship between individual interactions and group level behaviors.<ref name=durlauf>{{cite book|last=Durlauf|first=Steven|last2=Young|first2=Peyton|title=Social Dynamics|year=2001|publisher=MIT Press|location=Cambridge, MA|isbn=0-262-04186-3}}</ref>  
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Social dynamics (or sociodynamics) is the study of the behavior of groups that results from the interactions of individual group members as well to the study of the relationship between individual interactions and group level behaviors.  
 
Social dynamics (or sociodynamics) is the study of the behavior of groups that results from the interactions of individual group members as well to the study of the relationship between individual interactions and group level behaviors.  
  
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社会动力学(或社会动力学)是研究群体的行为，这种行为是由群体中个体成员的相互作用产生的，也是研究个体的相互作用和群体层面的行为之间的关系。
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'''<font color="#ff8000"> 社会动力学social dynamics </font>'''是研究群体行为的科学，它是由群体成员个体的相互作用而产生的，也是研究个体的相互作用和群体层面的行为之间的关系。
  
  
  
 
==Overview==
 
==Overview==
 +
概述
  
 
The field of social dynamics brings together ideas from [[economics]], [[sociology]], [[social psychology]], and other disciplines, and is a sub-field of [[complex adaptive system]]s or [[complexity science]]. The fundamental assumption of the field is that individuals are influenced by one another's behavior.  The field is closely related to [[system dynamics]].  Like system dynamics, social dynamics is concerned with changes over time and emphasizes the role of feedbacks.  However, in social dynamics individual choices and interactions are typically viewed as the source of aggregate level behavior, while system dynamics posits that the structure of feedbacks and accumulations are responsible for system level dynamics.<ref>{{cite book|last=Sterman|first=John|title=Business Dynamics|year=2000|publisher=McGraw Hill|isbn=0-07-231135-5|url-access=registration|url=https://archive.org/details/businessdynamics0000ster}}</ref>  Research in the field typically takes a behavioral approach, assuming that individuals are [[Bounded rationality|boundedly rational]] and act on local information.  Mathematical and computational modeling are important tools for studying social dynamics. This field grew out of work done in the 1940s by [[Game Theory|game theorists]] such as Duncan & Luce, and even earlier works by mathematician [[Armand Borel]].<ref>{{cite book|last=Luce|first=Duncan|title=Games and Decisions|url=https://archive.org/details/gamesdecisions00rdun|url-access=registration|year=1957|publisher=John Wiley & Sons, Inc.|isbn= 0486659437}}</ref> Because social dynamics focuses on individual level behavior, and recognizes the importance of heterogeneity across individuals, strict analytic results are often impossible.  Instead, approximation techniques, such as [[Mean field theory|mean field approximations]] from [[statistical physics]], or [[computer simulation]]s are used to understand the behaviors of the system.  In contrast to more traditional approaches in economics, scholars of social dynamics are often interested in non-equilibrium, or dynamic, behavior.<ref name=durlauf /><ref>{{cite web|title=Brookings Institution, Center for Social Dynamics and Policy|url=http://www.brookings.edu/about/centers/dynamics|accessdate=29 Sep 2012}}</ref>  That is, behavior that changes over time.
 
The field of social dynamics brings together ideas from [[economics]], [[sociology]], [[social psychology]], and other disciplines, and is a sub-field of [[complex adaptive system]]s or [[complexity science]]. The fundamental assumption of the field is that individuals are influenced by one another's behavior.  The field is closely related to [[system dynamics]].  Like system dynamics, social dynamics is concerned with changes over time and emphasizes the role of feedbacks.  However, in social dynamics individual choices and interactions are typically viewed as the source of aggregate level behavior, while system dynamics posits that the structure of feedbacks and accumulations are responsible for system level dynamics.<ref>{{cite book|last=Sterman|first=John|title=Business Dynamics|year=2000|publisher=McGraw Hill|isbn=0-07-231135-5|url-access=registration|url=https://archive.org/details/businessdynamics0000ster}}</ref>  Research in the field typically takes a behavioral approach, assuming that individuals are [[Bounded rationality|boundedly rational]] and act on local information.  Mathematical and computational modeling are important tools for studying social dynamics. This field grew out of work done in the 1940s by [[Game Theory|game theorists]] such as Duncan & Luce, and even earlier works by mathematician [[Armand Borel]].<ref>{{cite book|last=Luce|first=Duncan|title=Games and Decisions|url=https://archive.org/details/gamesdecisions00rdun|url-access=registration|year=1957|publisher=John Wiley & Sons, Inc.|isbn= 0486659437}}</ref> Because social dynamics focuses on individual level behavior, and recognizes the importance of heterogeneity across individuals, strict analytic results are often impossible.  Instead, approximation techniques, such as [[Mean field theory|mean field approximations]] from [[statistical physics]], or [[computer simulation]]s are used to understand the behaviors of the system.  In contrast to more traditional approaches in economics, scholars of social dynamics are often interested in non-equilibrium, or dynamic, behavior.<ref name=durlauf /><ref>{{cite web|title=Brookings Institution, Center for Social Dynamics and Policy|url=http://www.brookings.edu/about/centers/dynamics|accessdate=29 Sep 2012}}</ref>  That is, behavior that changes over time.
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The field of social dynamics brings together ideas from economics, sociology, social psychology, and other disciplines, and is a sub-field of complex adaptive systems or complexity science. The fundamental assumption of the field is that individuals are influenced by one another's behavior.  The field is closely related to system dynamics.  Like system dynamics, social dynamics is concerned with changes over time and emphasizes the role of feedbacks.  However, in social dynamics individual choices and interactions are typically viewed as the source of aggregate level behavior, while system dynamics posits that the structure of feedbacks and accumulations are responsible for system level dynamics.  Research in the field typically takes a behavioral approach, assuming that individuals are boundedly rational and act on local information.  Mathematical and computational modeling are important tools for studying social dynamics. This field grew out of work done in the 1940s by game theorists such as Duncan & Luce, and even earlier works by mathematician Armand Borel. Because social dynamics focuses on individual level behavior, and recognizes the importance of heterogeneity across individuals, strict analytic results are often impossible.  Instead, approximation techniques, such as mean field approximations from statistical physics, or computer simulations are used to understand the behaviors of the system.  In contrast to more traditional approaches in economics, scholars of social dynamics are often interested in non-equilibrium, or dynamic, behavior.  That is, behavior that changes over time.
 
The field of social dynamics brings together ideas from economics, sociology, social psychology, and other disciplines, and is a sub-field of complex adaptive systems or complexity science. The fundamental assumption of the field is that individuals are influenced by one another's behavior.  The field is closely related to system dynamics.  Like system dynamics, social dynamics is concerned with changes over time and emphasizes the role of feedbacks.  However, in social dynamics individual choices and interactions are typically viewed as the source of aggregate level behavior, while system dynamics posits that the structure of feedbacks and accumulations are responsible for system level dynamics.  Research in the field typically takes a behavioral approach, assuming that individuals are boundedly rational and act on local information.  Mathematical and computational modeling are important tools for studying social dynamics. This field grew out of work done in the 1940s by game theorists such as Duncan & Luce, and even earlier works by mathematician Armand Borel. Because social dynamics focuses on individual level behavior, and recognizes the importance of heterogeneity across individuals, strict analytic results are often impossible.  Instead, approximation techniques, such as mean field approximations from statistical physics, or computer simulations are used to understand the behaviors of the system.  In contrast to more traditional approaches in economics, scholars of social dynamics are often interested in non-equilibrium, or dynamic, behavior.  That is, behavior that changes over time.
  
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社会动力学领域汇集了来自经济学、社会学、社会心理学和其他学科的思想，是复杂适应系统或复杂性科学的一个子领域。该领域的基本假设是，个体受到彼此行为的影响。该领域与系统动力学密切相关。像系统动力学一样，社会动力学关注随着时间的推移而发生的变化，并强调反馈的作用。然而，在社会动力学中，个体的选择和相互作用通常被视为总体水平行为的来源，而系统动力学则假定反馈和累积的结构负责系统水平的动力学。该领域的研究通常采取行为方法，假设个体是有限理性的，并根据当地信息采取行动。数学和计算建模是研究社会动力学的重要工具。这个领域是在20世纪40年代邓肯和卢斯等博弈论家的工作，以及数学家阿曼德 · 博雷尔的早期著作中发展起来的。由于社会动力学关注于个体层面的行为，并认识到个体之间异质性的重要性，严格的分析结果通常是不可能的。相反，近似技术，如统计物理学的平均场近似，或计算机模拟被用来理解系统的行为。与经济学中更为传统的方法相比，研究社会动力学的学者往往对非均衡或动态行为感兴趣。也就是说，行为会随着时间的推移而改变。
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社会动力学领域汇集了经济学、社会学、社会心理学等学科的思想，是复杂适应系统或复杂性科学的一个子领域。该领域的基本假设是，个体受彼此行为的影响。该领域与系统动力学密切相关。与系统动力学一样，社会动力学关注随着时间的推移而发生的变化，并强调反馈的作用。然而，在社会动力学中，个体的选择和相互作用通常被视为总体行为的来源，而系统动力学则假定反馈和累积的结构是系统层面动态的原因。该领域的研究通常采取行为学方法，假设个体是有限理性的，并根据局部信息采取行动。数学和计算建模是研究社会动力学的重要工具。这个领域是在20世纪40年代邓肯和卢斯等博弈论家的工作，以及更早之前的数学家阿曼德 · 博雷尔的著作中发展起来的。由于社会动力学关注于个体层面的行为，并认识到个体之间异质性的重要性，严格的分析结果通常是不可能的。取而代之的是近似技术，如统计物理学中的'''<font color="#ff8000"> 平均场近似mean field approximations </font>'''，或计算机模拟来理解系统的行为。与经济学中更为传统的方法相比，研究社会动力学的学者往往对非均衡或动态行为感兴趣。也就是说，行为会随着时间的推移而改变。
  
  
  
 
==Topics==
 
==Topics==
 +
主题
  
 
* [[Social network]]s
 
* [[Social network]]s
 +
社会网络
  
 
* [[Diffusion of innovations|Diffusion of technologies and information]]
 
* [[Diffusion of innovations|Diffusion of technologies and information]]
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创新的传播|技术和信息的传播
  
 
* [[Cooperation]]
 
* [[Cooperation]]
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合作
  
 
* [[Social norm]]s
 
* [[Social norm]]s
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社会准则
  
  
  
 
== See also ==
 
== See also ==
 +
请参阅
  
 
{{div col|colwidth=22em}}
 
{{div col|colwidth=22em}}
  
 
* [[Complex adaptive system]]
 
* [[Complex adaptive system]]
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复杂自适应系统
  
 
* [[Complexity science]]
 
* [[Complexity science]]
 +
复杂度科学
  
 
* [[Collective intelligence]]
 
* [[Collective intelligence]]
 +
集体智慧
  
 
* [[Dynamical systems]]
 
* [[Dynamical systems]]
 +
动力系统
  
 
* [[Jay Wright Forrester]]
 
* [[Jay Wright Forrester]]
 +
杰伊·赖特·弗雷斯特
  
 
* [[Group dynamics]]
 
* [[Group dynamics]]
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群体动态
  
 
* [[Operations research]]
 
* [[Operations research]]
 +
运筹学
  
 
* [[Population dynamics]]
 
* [[Population dynamics]]
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+
人口动态
 +
’
 
* [[System dynamics]]
 
* [[System dynamics]]
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系统动力学
  
 
* [[Social psychology]]
 
* [[Social psychology]]
 +
社会心理学
  
 
* [[Societal collapse]]
 
* [[Societal collapse]]
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社会崩溃
  
 
* [[Sociobiology]]
 
* [[Sociobiology]]
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社会生物学
  
 
* [[Sociocultural evolution]]
 
* [[Sociocultural evolution]]
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社会文化演变
  
 
{{div col end}}
 
{{div col end}}
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== Notes==
 
== Notes==
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标注
  
 
{{Reflist}}
 
{{Reflist}}
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== References ==
 
== References ==
 +
参考
  
 
* Weidlich, W. (1997) "Sociodynamics applied to the evolution of urban and regional structures". ''Discrete Dynamics in Nature and Society'', Vol. 1, pp.&nbsp;85–98.
 
* Weidlich, W. (1997) "Sociodynamics applied to the evolution of urban and regional structures". ''Discrete Dynamics in Nature and Society'', Vol. 1, pp.&nbsp;85–98.
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== Further reading ==
 
== Further reading ==
 +
进一步阅读
  
 
*{{cite book|last=Easley|first=David|last2=Klienberg|first2=Jon|title=Networks, Crowds, and Markets|year=2010|publisher=Cambridge University Press|location=New York, NY|isbn=978-0-521-19533-1}}
 
*{{cite book|last=Easley|first=David|last2=Klienberg|first2=Jon|title=Networks, Crowds, and Markets|year=2010|publisher=Cambridge University Press|location=New York, NY|isbn=978-0-521-19533-1}}
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== External links ==
 
== External links ==
 +
外部链接
  
 
{{Library resources box  
 
{{Library resources box  

2020年11月24日 (二) 13:31的版本

本词条由11初步翻译

模板:More citations needed

模板:Sociology 社会学

Complex systems organizational map.jpg
Complex systems
Topics

复杂系统

Social dynamics (or sociodynamics) is the study of the behavior of groups that results from the interactions of individual group members as well to the study of the relationship between individual interactions and group level behaviors.[1]

Social dynamics (or sociodynamics) is the study of the behavior of groups that results from the interactions of individual group members as well to the study of the relationship between individual interactions and group level behaviors.

社会动力学social dynamics 是研究群体行为的科学，它是由群体成员个体的相互作用而产生的，也是研究个体的相互作用和群体层面的行为之间的关系。


Overview

概述

The field of social dynamics brings together ideas from economics, sociology, social psychology, and other disciplines, and is a sub-field of complex adaptive systems or complexity science. The fundamental assumption of the field is that individuals are influenced by one another's behavior. The field is closely related to system dynamics. Like system dynamics, social dynamics is concerned with changes over time and emphasizes the role of feedbacks. However, in social dynamics individual choices and interactions are typically viewed as the source of aggregate level behavior, while system dynamics posits that the structure of feedbacks and accumulations are responsible for system level dynamics.[2] Research in the field typically takes a behavioral approach, assuming that individuals are boundedly rational and act on local information. Mathematical and computational modeling are important tools for studying social dynamics. This field grew out of work done in the 1940s by game theorists such as Duncan & Luce, and even earlier works by mathematician Armand Borel.[3] Because social dynamics focuses on individual level behavior, and recognizes the importance of heterogeneity across individuals, strict analytic results are often impossible. Instead, approximation techniques, such as mean field approximations from statistical physics, or computer simulations are used to understand the behaviors of the system. In contrast to more traditional approaches in economics, scholars of social dynamics are often interested in non-equilibrium, or dynamic, behavior.[1][4] That is, behavior that changes over time.

The field of social dynamics brings together ideas from economics, sociology, social psychology, and other disciplines, and is a sub-field of complex adaptive systems or complexity science. The fundamental assumption of the field is that individuals are influenced by one another's behavior. The field is closely related to system dynamics. Like system dynamics, social dynamics is concerned with changes over time and emphasizes the role of feedbacks. However, in social dynamics individual choices and interactions are typically viewed as the source of aggregate level behavior, while system dynamics posits that the structure of feedbacks and accumulations are responsible for system level dynamics. Research in the field typically takes a behavioral approach, assuming that individuals are boundedly rational and act on local information. Mathematical and computational modeling are important tools for studying social dynamics. This field grew out of work done in the 1940s by game theorists such as Duncan & Luce, and even earlier works by mathematician Armand Borel. Because social dynamics focuses on individual level behavior, and recognizes the importance of heterogeneity across individuals, strict analytic results are often impossible. Instead, approximation techniques, such as mean field approximations from statistical physics, or computer simulations are used to understand the behaviors of the system. In contrast to more traditional approaches in economics, scholars of social dynamics are often interested in non-equilibrium, or dynamic, behavior. That is, behavior that changes over time.

社会动力学领域汇集了经济学、社会学、社会心理学等学科的思想，是复杂适应系统或复杂性科学的一个子领域。该领域的基本假设是，个体受彼此行为的影响。该领域与系统动力学密切相关。与系统动力学一样，社会动力学关注随着时间的推移而发生的变化，并强调反馈的作用。然而，在社会动力学中，个体的选择和相互作用通常被视为总体行为的来源，而系统动力学则假定反馈和累积的结构是系统层面动态的原因。该领域的研究通常采取行为学方法，假设个体是有限理性的，并根据局部信息采取行动。数学和计算建模是研究社会动力学的重要工具。这个领域是在20世纪40年代邓肯和卢斯等博弈论家的工作，以及更早之前的数学家阿曼德 · 博雷尔的著作中发展起来的。由于社会动力学关注于个体层面的行为，并认识到个体之间异质性的重要性，严格的分析结果通常是不可能的。取而代之的是近似技术，如统计物理学中的 平均场近似mean field approximations ，或计算机模拟来理解系统的行为。与经济学中更为传统的方法相比，研究社会动力学的学者往往对非均衡或动态行为感兴趣。也就是说，行为会随着时间的推移而改变。


Topics

主题

社会网络

创新的传播|技术和信息的传播

合作

社会准则


See also

请参阅

复杂自适应系统

复杂度科学

集体智慧

动力系统

杰伊·赖特·弗雷斯特

群体动态

运筹学

人口动态 ’

系统动力学

社会心理学

社会崩溃

社会生物学

社会文化演变


Notes

标注

  1. ↑ 1.0 1.1 Durlauf, Steven; Young, Peyton (2001). Social Dynamics. Cambridge, MA: MIT Press. ISBN 0-262-04186-3. 
  2. ↑ Sterman, John (2000). Business Dynamics. McGraw Hill. ISBN 0-07-231135-5. https://archive.org/details/businessdynamics0000ster. 
  3. ↑ Luce, Duncan (1957). Games and Decisions. John Wiley & Sons, Inc.. ISBN 0486659437. https://archive.org/details/gamesdecisions00rdun. 
  4. ↑ "Brookings Institution, Center for Social Dynamics and Policy". Retrieved 29 September 2012.


References

参考

  • Weidlich, W. (1997) "Sociodynamics applied to the evolution of urban and regional structures". Discrete Dynamics in Nature and Society, Vol. 1, pp. 85–98.

Available online: http://www.hindawi.com/GetArticle.aspx?doi=10.1155/S1026022697000101.

Available online: http://www.hindawi.com/GetArticle.aspx?doi=10.1155/S1026022697000101.

可在线阅读: http://www.hindawi.com/getarticle.aspx?doi=10.1155/s1026022697000101。


Further reading

进一步阅读

  • Easley, David; Klienberg, Jon (2010). Networks, Crowds, and Markets. New York, NY: Cambridge University Press. ISBN 978-0-521-19533-1. 
  • Jackson, Matthew O. (2008). Social and Economic Networks. Princeton, NJ: Princeton University Press. ISBN 978-0-691-13440-6. 


External links

外部链接

{{Library resources box

{{Library resources box

{图书馆资源框

|by=no

|by=no

不会

|onlinebooks=no

|onlinebooks=no

网上书店 = no

|others=no

|others=no

其他 = 否

|about=yes

|about=yes

是的

|label=Social dynamics

|label=Social dynamics

| label = 社会动态

}}

}}

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  • Club of Rome report, quote: "We must also keep in mind the presence of social delays--the delays necessary to allow society to absorb or to prepare for a change. Most delays, physical or social reduce the stability of the world system and increase the likelihood of the overshoot mode"
  • social-dynamics.org—Blog on Social Dynamics from Kellogg School of Management Social Dynamics Scholar
  • Watts, D.J.

作者: Watts，d.j。; Strogatz, S.H.

2 = Strogatz，s.h. (1998

1998年). ""小世界"网络的集体动态". Nature. 393

393 (6684

6684): 440–442. Bibcode:[https://ui.adsabs.harvard.edu/abs/1998Natur.393..440W

1998/natur. 393. . 440 w 1998Natur.393..440W 1998/natur. 393. . 440 w]. doi:10.1038/30918. PMID [//pubmed.ncbi.nlm.nih.gov/9623998

9623998 9623998 9623998]. {{cite journal}}: |access-date= requires |url= (help); Check |bibcode= length (help); Check |pmid= value (help); Check date values in: |accessdate= and |year= (help); Unknown parameter |日志= ignored (help); Unknown parameter |页数= ignored (help); line feed character in |author2= at position 15 (help); line feed character in |author= at position 12 (help); line feed character in |bibcode= at position 20 (help); line feed character in |issue= at position 5 (help); line feed character in |pmid= at position 8 (help); line feed character in |volume= at position 4 (help); line feed character in |year= at position 5 (help)

}}

}}

Category:Systems theory

范畴: 系统论

Category:Social systems

类别: 社会系统


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