知识网络的结构及过程模型

针对知识网络同时具有的小世界结构和无标度连接度分布特征, 构造了知识网络特定结构形成的过程模型. 新知识创造立足于一定的知识基础, 而这个基础内部的知识点之间通常是强相关的; 模型首先在知识增长网络中择优选择并连接定位节点, 以确定知识的主要理论来源, 然后在定位节点的邻居节点中随机选择节点并进行连接, 反应知识的内聚性和知识创造者的领域限制, 过程模型最终形成兼具前述两种结构特征的知识网络; 实际数据统计和仿真实验验证了模型的有效性.

Formation and process model of knowledge networks

For analyzing the small-world structure and scale-free characteristic of the knowledge networks, a formation model has been constructed. The model firstly chose position vertexes by the strategy of preferential attachment to determine the subject field of the knowledge creator, then randomly chose vertexes in the neighbors of position vertexes, this process could reflect creator's limitation in subject field and the introverted nature of the field. The model can construct networks with character of small-world and scale-free and fit different demand by adjusting the proportion of the above two kinds of vertexes.