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与特定内容频繁的共同出现的标签通常被认为是连接性更强的标记。此外,标签可以相互连接,这可以从它们共同出现的频率中看出来。它们共同出现的次数越多,联系就越紧密。标签云通常用于可视化资源和标记之间的连接,字体大小随着关联强度的增加而增加。<ref name=":1">Kimmerle, J., Cress, U., & Held, C. (2010). The interplay between individual and collective knowledge: technologies for organisational learning and knowledge building. Knowledge Management Research & Practice, 8(1), 33-44.</ref>
 
与特定内容频繁的共同出现的标签通常被认为是连接性更强的标记。此外,标签可以相互连接,这可以从它们共同出现的频率中看出来。它们共同出现的次数越多,联系就越紧密。标签云通常用于可视化资源和标记之间的连接,字体大小随着关联强度的增加而增加。<ref name=":1">Kimmerle, J., Cress, U., & Held, C. (2010). The interplay between individual and collective knowledge: technologies for organisational learning and knowledge building. Knowledge Management Research & Practice, 8(1), 33-44.</ref>
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Tags show interconnections of concepts that were formerly unknown to a user. Therefore, a user's current cognitive constructs may be modified or augmented by the metadata information found in aggregated social tags. This process promotes knowledge acquisition through cognitive irritation and equilibration. This theoretical framework is known as the co-evolution model of individual and collective knowledge.<ref name=":1" />
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Tags show interconnections of concepts that were formerly unknown to a user. Therefore, a user's current cognitive constructs may be modified or augmented by the metadata information found in aggregated social tags. This process promotes knowledge acquisition through cognitive irritation and equilibration. This theoretical framework is known as the co-evolution model of individual and collective knowledge.
      
标签显示了以前用户不知道的概念之间的相互联系。因此,用户当前的认知结构可能会被聚合的社会化标签中的元数据信息修改或增强。这个过程通过认知刺激和平衡促进知识的获得,这个理论框架被称为个体和集体知识的协同进化模型。<ref name=":1" />
 
标签显示了以前用户不知道的概念之间的相互联系。因此,用户当前的认知结构可能会被聚合的社会化标签中的元数据信息修改或增强。这个过程通过认知刺激和平衡促进知识的获得,这个理论框架被称为个体和集体知识的协同进化模型。<ref name=":1" />
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