社会杂志

• 社会网研究 • 上一篇    下一篇

社会网研究的架构:以组织理论与管理研究为例

罗家德1; 王竞2; 张佳音3; 谢朝霞4   

    1. 清华大学社会学系
    2. 清华大学社会学系
    3. 清华大学社会学系
    4. 清华大学社会学系
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-11-20 发布日期:2008-11-20

The Structure of Social Network Research: The Organizational Theory and Management Research as Examples

Luo Jiade1, Wang Jing2, Zhang Jiayin3; Xie Zhaoxia4   

  • Received:1900-01-01 Revised:1900-01-01 Online:2008-11-20 Published:2008-11-20

摘要: 本文认为社会网研究存在于七大领域之中。根据各研究领域,本文以组织与管理研究为例说明每一领域要研究的内容,并阐述了社会网结构与社会关系如何在集体行动与个体行动之间搭起一座桥,而其间的自组织现象更使得集体行动绝非个体行动的线性加总,而有着复杂现象的特性——不同的自组织会产生分歧的行动结果,相同的个体行动可能在不同的结构中产生完全相反的集体行动。解开此非线性行为之谜,正是未来社会网研究要继续努力的重要方向。

关键词: 社会网理论, 集体行动, 个人行为, 社会网结构, 社会力

Abstract: There are seven areas in social network research. First, how field forces or interference factors in the collective social network structure influence relations; second, how relations influence individual actions; third, how field forces or interference factors in the collective social network structure influence individuals' structural positions, fourth, how individuals' structural positions influence their individual actions; fifth, how individual actions influence the collective social network structure, sixth, how the collective social network influences collective actions, and seventh, how collective actions influence field forces. This paper takes the organizational theory and management research as examples to illustrate the research contents in each area and explains how social network serves as a bridge to connect collective actions and individual actions. The phenomenon of selforganization refutes the notion of collective actions equaling to a linear sum of individual actions; it manifests features of a complex phenomenondifferent selforganizations will lead to action ramifications and identical individual actions may result in opposing collective actions in different structures. To solve this nonlinear riddle is the important task in future social network research.

Key words: collective actions, field forces, individual actions, social network structure, social network theory