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机构地区:[1]南京大学信息管理学院,江苏南京210023 [2]贵州财经大学信息学院,贵州贵阳550025
出 处:《情报理论与实践》2020年第5期131-136,155,共7页Information Studies:Theory & Application
摘 要:[目的/意义]社会化标注过程具有明显的群体智慧涌现特性。洞察其涌现规律和影响因素将有助于更深入地了解社会化标注的内在机理,提升信息的组织和检索效率。[方法/过程]以高频标签时序模型量化表征群体智慧水平,探索影响水平稳定的因素,并对两者间关系进行实证。[结果/结论]标注过程中存在群体智慧涌现现象,标注行为的频率与群体智慧出现的相对比例呈幂指数关系。[局限]拟合模型的解释水平有限,尚有未知的影响因素存在,应在更多的标注数据集中进行实证。[Purpose/significance]The process of social tagging has obvious characteristics of emergent collective intelligence.Insights into its emergence patterns and influencing factors will help to gain a deeper understanding of the underlying mechanisms of social tagging and to improve the efficiency of information organization and retrieval.[Method/process]The high frequency tagging time sequence model was induced to quantify the level of the collective intelligence,then the factors affecting the stability of the level were explored,and relationship between them was confirmed through the empirical method.[Result/conclusion]The emergence of collective intelligence exists in tagging process,and the frequency of tagging behavior has a power exponential relationship with the relative proportion of collective intelligence.[Limitations]The explanatory ability of the model is limited,and there are still unknown influencing factors,which should be verified in more tagging data sets.
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