CAJ | 학술논문

用户影响力度量是目前微博研究的基础和热点方向，为了提高微博传播影响力度量的准确性，提出一种基于行为权值的微博用户影响力度量算法。对网络用户的转发、评论和提及等行为进行分析，将数据输入到最小二乘支持向量机中进行学习找到最合理的权值，并建立传播影响力度量模型，采用具体数据对算法的性能进行仿真测试。结果表明，相对于其他微博用户影响力度量算法，该算法不仅提高了微博用户影响力的度量准确性，而且可以准确刻画各种用户行为对网络传播力贡献。
용호영향력도량시목전미박연구적기출화열점방향，위료제고미박전파영향력도량적준학성，제출일충기우행위권치적미박용호영향력도량산법。대망락용호적전발、평론화제급등행위진행분석，장수거수입도최소이승지지향량궤중진행학습조도최합리적권치，병건립전파영향력도량모형，채용구체수거대산법적성능진행방진측시。결과표명，상대우기타미박용호영향력도량산법，해산법불부제고료미박용호영향력적도량준학성，이차가이준학각화각충용호행위대망락전파력공헌。
Information diffusion and influence modeling are hot topics in micro-blog research, in order to improve mea-sure precision of micro-blog spreading influence, a novel measuring algorithm of micro-blog spreading influence is pro-posed in this paper. The retweet, comment, mention are analyzed, and then the data are input to least squares support vec-tor machine to obtain weight values, and establish spreading influence measure model, the simulation experiment is car-ried out to test the model performance. The simulation results show that, compared with other measure algorithms, the pro-posed algorithm not only improves the measure precision accuracy of micro-log spreading influence, but also can be more accurately portray various user behavior on spreading influence.