在线知识社区中基于个体异质性的知识与社会系统协同演化研究

在Web 2.0环境下,在线知识社区(Online Knowledge Community, OKC)已成为人们进行学习、利用、分享、传播知识的重要平台。然而,现有关于OKC的研究较多关注其中社会系统对个体知识建构、群体知识建构的影响,缺少从OKC演化的视角,以用户为基础对OKC中社会系统与知识系统间双向交互影响规律的研究。为此,本文将个体异质性作为影响因素引入到OKC的研究中,在一个开放的在线知识社区中模拟个体的观点、认知结构以及个体间形成的社会关系与知识系统的共同演化。将个体间以信任为基础形成的关系网络视为OKC中的社会系统,将群体依据自身认知结构表达出的全部观点视为社区中的知识系统,进而采取了社会科学计算实验的研究方法构建了一个OKC中社会系统与知识系统协同演化模型,并在模型中引入了个体的内在和外在异质性作为影响因素。研究结果表明OKC中个体的学习能力、容忍度、活跃度等个体因素,对其中知识观点的传播与社区中社会网络的演化影响显著。本研究希望能够为OKC中知识的自组织、序化的研究提供理论支持。

Research on the Co-evolution of Knowledge and Social System Based on Individual Heterogeneity in OKC

In the environment of Web 2.0, more and more people are getting used to learning online. As an important platform of learning, using and sharing knowledge, Online Knowledge Community (OKC) develop rapidly. However, the existing study of the co-evolution model of social system and knowledge system in OKC pays more attention to the way that social system influences individual knowledge construction and community knowledge construction. In this paper, we introduce the co-evolution model of social system and knowledge system in OKC and take the individual heterogeneity as a new influential factor here, which can simulate the changing process of agent's view, cognitive structure and relationship in an open online knowledge community. In the process of online communication, a relational network, which is based on trust, is regarded as the social system in the community. And the view , which is based on individual cognitive structure, is regarded as the knowledge system of the community. By introducing the internal and external heterogeneity of the individual as the influencing factors to the co-evolution model, it is proved that the individual heterogeneity , like learning ability and tolerance, have a significant effect on the communication and the social network in OKC. This paper can provide theoretical support for the research on the self-organization in OKC.