CAJ | 학술논문

由于PageRank算法主要是根据网页之间的相互链接关系来计算网页的重要性得分，因此不能直接应用到微博网络来计算用户的影响力，从而本文在PageRank算法的基础上，引入微博网络中用户的活跃度、博文质量以及关于位置的结构相似性等指标，建立适用于微博网络的用户影响力量化模型———Influence_Index。通过实验发现Influence_Index模型结果的影响力排名前十五的用户，其中有4位出现在被该网络用户公认的5位最具影响力用户的名单中。由此看出该模型的结果具有较高的准确性可以较好的识别出网络中具有影响力的用户，具有较高的推广意义。同时发现增加原创博文量、关注数量和粉丝量对提升用户的影响力有着显著作用。
유우PageRank산법주요시근거망혈지간적상호련접관계래계산망혈적중요성득분，인차불능직접응용도미박망락래계산용호적영향력，종이본문재PageRank산법적기출상，인입미박망락중용호적활약도、박문질량이급관우위치적결구상사성등지표，건립괄용우미박망락적용호영향역량화모형———Influence_Index。통과실험발현Influence_Index모형결과적영향력배명전십오적용호，기중유4위출현재피해망락용호공인적5위최구영향력용호적명단중。유차간출해모형적결과구유교고적준학성가이교호적식별출망락중구유영향력적용호，구유교고적추엄의의。동시발현증가원창박문량、관주수량화분사량대제승용호적영향력유착현저작용。
As PageRank algorithm is mainly based on the relationship between the page links to calculate the importance score of the page, it cannot be directly applied to the calculation of the user's influence on microblogging network. Based on PageRank algorithm, the indicators such as active degree of user, quality of the blog and structural similarity of location and so on are introduced to establish qualified users influence model: Influence_Index, which is suitable for the microblogging network users. It was found that four of the top fifteen users obtained by the Infuluence_Index modelappears in the five most influential user's list, which is generally acknowledged by users of the website. This shows the model has high accuracy and can better identify the influential network users, it deserves to be promoted further. Besides, we also find that the increase of number of the original blog, attention, and fans has a significant role on enhancing the user's influence.