网民重要度分析可以有效区别出不同网民之间的重要性,从中进行重要网民的提取识别,为重点人物社区分析提供判别依据。在网民重要性影响因素的分析基础上,该文提出了一种基于指标体系的网民重要度模型NI模型(Netizen Importance)。该模型综合考虑了网民在信息发布和关联关系等多方面的特征,采用层次分析法确定指标权重,在此基础上确定网民重要度的具体计算方法。在大规模数据集Twitter上的对比实验表明,通过NI模型得出的重要网民在实际应用中更有价值,更能全面反映网民的重要性。
Abstract
The analysis of netizen importance enables us to discriminate important users from common ones, which provides grounds for the important user community analysis. With thorough study on the factors affecting netizen importance, we propose a netizen importance evaluation model (NI) based on an index system. In this model, netizens features on information publishing and interaction relation are taken into account, and the AHP method is employed to obtain the weight of the indexes. In our experiment on Twitter data, the results illustrate that the model identifies more valuable network users.
Key wordsnetizen importance; netizen modeling; netizen evaluation index
关键词
网民重要度 /
网民建模 /
网民评价指标
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Key words
netizen importance /
netizen modeling /
netizen evaluation index
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参考文献
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脚注
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基金
国家自然科学基金资助项目(60933005,60903139,60873243);国家242专项资助项目(2011A01);国家863计划重点项目(2010AA012502,2010AA012503)
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