| 科学知识网络的演化与动力——基于科学引证网络的分析 |
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| 引用本文： | 刘向,马费成. 科学知识网络的演化与动力——基于科学引证网络的分析[J]. 管理科学学报, 2012, 0(1): 87-94 |
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| 作者姓名： | 刘向 马费成 |
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| 作者单位： | 武汉大学信息资源研究中心 |
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| 基金项目： | 国家自然科学基金重点资助项目(70833005) |
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| 摘 要： | 研究科学知识演化的动力及规律是探究科学知识创造及发展过程的关键.基于复杂网络的方法建立了科学知识的演化模型,揭示了知识演化的马太效应中潜隐的时间因素的作用,时间效应一定程度上平抑了度择优所导致的马太效应的负面影响.模型通过引入度择优和时间优先连接以反映了科学知识的继承与更新过程,其中度择优机制保证对经典科学理论的继承,...
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| 关 键 词： | 知识网络 演化网络 引证网络 演化模型 动力 |
Evolution and dynamics of scientific knowledge network: Based on the study of scientific citation network |
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| LIU Xiang,MA Fei-cheng. Evolution and dynamics of scientific knowledge network: Based on the study of scientific citation network[J]. Journal of Management Sciences in China, 2012, 0(1): 87-94 |
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| Authors: | LIU Xiang MA Fei-cheng |
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| Affiliation: | Center for Studies of Information Resources of Wuhan University,Wuhan 430072,China |
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| Abstract: | Research on the evolution and dynamics is the key point to explore the processes of the creation and development of scientific knowledge.By using the method of complex networks,we constructed a evolving model which revealed the effect of the time factor on the evolution of knowledge and the relationship between it and Matthew Effect,and discovered that the time effect decreases the adverseness of Matthew Effect.The model introduced both degree and time preferential attachments to describe the accepting and updating processes of scientific knowledge.The degree preferential attachment ensures the acceptance of classic theory,and the time preferential attachment encourages the absorption of recent knowledge.Simulation results showed that the effect of preferential attachment,which produced Matthew Effect,is overarching;and the effect of time attachment is partial. |
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| Keywords: | knowledge networks evolution networks citation network evolution model dynamics |
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